AACFlow vs. Microsoft Power Automate
AACFlow ist der KI-Workspace, in dem Teams KI-Agenten visuell, im Dialog oder mit Code erstellen, bereitstellen und verwalten. So schneidet AACFlow im Vergleich zu Microsoft Power Automate bei Plattformarchitektur, KI-Fähigkeiten, Integrationen, Preisen, Sicherheit und Support ab. Jeder Fakt unten ist belegt und datiert, zuletzt geprüft am .
AACFlow ist ein KI-Workspace zum Erstellen, Bereitstellen und Verwalten von KI-Agenten. Diese Seite vergleicht AACFlow mit Microsoft Power Automate bei Plattformarchitektur, KI-Fähigkeiten, Integrationen, Preisen, Sicherheit und Compliance, Observability und Support – mit belegten, datierten Fakten für Entscheider, die beide Plattformen bewerten.
Was ist AACFlow?
AACFlow is the AI workspace where teams build, deploy, and manage AI agents, connecting 1,000+ integrations and every major LLM to automate real work visually, conversationally, or with code.
Was ist Microsoft Power Automate?
Microsoft Power Automate is a low-code cloud automation service in the Power Platform. It builds cloud flows (connector-based triggers/actions), desktop flows (RPA), and AI-assisted/agentic workflows using 1,400+ connectors and Copilot/AI Builder.
AACFlow vs. Microsoft Power Automate: Funktionsvergleich
Die folgenden Abschnitte vergleichen AACFlow und Microsoft Power Automate bei Plattform und Bereitstellung, Preisen, Sicherheit und Compliance, KI-Fähigkeiten, Integrationen, Observability und Support.
Plattform und Bereitstellung
CompareAACFlow vs Microsoft Power Automate
AACFlow
Microsoft Power Automate
Builder-Typ
AACFlow
Visual canvas, chat, or code (Quelle: AACFlow Docs: Introduction (visual, natural-language, and API/SDK building), öffnet in neuem Tab)Visual drag-and-drop canvas, natural-language (Chat), or code (API/SDK)
Microsoft Power Automate
Visual canvas, desktop RPA recorder, Copilot NL, AI Builder (Quelle: Power Automate product page, öffnet in neuem Tab)Low-code visual flow builder (trigger/action steps) for cloud flows, a desktop recorder for RPA (desktop flows), Copilot natural-language flow authoring, and AI Builder for embedded AI models. Copilot Studio, a related product, covers conversational/autonomous agent building.. Cloud flows are built visually with connectors; desktop flows are recorded/RPA-based; Copilot can draft flows from natural language descriptions.
Lernkurve
AACFlow
Low, plus natural-language Chat for non-technical users (Quelle: AACFlow Docs: Introduction (visual, natural-language, and API/SDK building), öffnet in neuem Tab)Low for visual building; natural-language Chat surface (with a workflow-scoped Copilot) for non-technical builders. Chat lets users describe a workflow in plain language and have AACFlow scaffold or edit it; the visual canvas requires no code to connect blocks.
Microsoft Power Automate
Easy for simple flows, steep for ALM/RPA at scale (Quelle: Power Automate product page, öffnet in neuem Tab)Low for single connector-to-connector flows; steep for solutions, environments, ALM pipelines, and desktop-flow RPA at scale. Accessible to non-developer makers for simple flows, but production-grade multi-environment deployment (solutions, managed/unmanaged packages, pipelines, environment variables) requires dedicated admin/ALM training.
Bereitstellungsoptionen
AACFlow
Managed cloud, no single-tenant VPC option (Quelle: AACFlow Pricing Page, öffnet in neuem Tab)Cloud-hosted (managed, multi-tenant SaaS) operated by AACFlow. No documented managed single-tenant/VPC hosting tier. AACFlow is sold as a managed cloud service; there is no dedicated-instance/VPC offering.
Microsoft Power Automate
Commercial cloud, GCC/GCC High/DoD, on-prem gateway, desktop-flow runtime (Quelle: Power Automate US Government - Power Automate | Microsoft Learn, öffnet in neuem Tab)Commercial multi-tenant cloud; Office 365 GCC, GCC High, and DoD sovereign/government cloud environments; an on-premises data gateway for connecting cloud flows to on-prem systems (e.g., on-prem SQL Server, file shares); and a local desktop-flow runtime (Power Automate for desktop) for automating tasks on individual Windows workstations. Microsoft's Power Automate US Government service description confirms separate Commercial, GCC, GCC High, and DoD deployment environments; the on-premises data gateway is a locally installed Windows service that relays cloud flow connections to on-prem resources without opening inbound ports; desktop flows run via a locally installed Power Automate for desktop application on the user's machine.
Vorlagen
AACFlow
(Quelle: AACFlow codebase: templates gallery and APIs removed, öffnet in neuem Tab)No: the pre-built workflow template gallery (landing and in-workspace) was removed platform-wide. AACFlow now surfaces per-integration starter prompts instead of a template library.
Microsoft Power Automate
Built-in template gallery, searchable or browsable by category (Quelle: Get started from a template - Power Automate | Microsoft Learn, öffnet in neuem Tab)Built-in template gallery for common connector-to-connector automations, searchable or browsable by category from the Templates navigation pane when creating a flow. Users can search all templates or browse by category to find a matching scenario, then create a cloud flow directly from the template's predefined triggers and actions.
Übernahme zwischen Umgebungen
AACFlow
(Quelle: AACFlow Docs: Workspace Forks, öffnet in neuem Tab)Yes: fork a whole workspace into a dev/qa/prod-style child, diff it, and promote or roll back changes in either direction. Credential and env-var remapping is required before every promote, so secrets are never silently copied across environments. Gated to the Enterprise plan.
Microsoft Power Automate
(Quelle: Export a solution - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes: full dev/test/prod environment promotion exists via Dataverse Solutions (managed vs. unmanaged) exported/imported between environments, plus Power Platform Pipelines for automated promotion and environment variables for per-environment config swaps. A Solution bundles flows, tables, connectors, and other assets; unmanaged solutions are used in development, managed solutions are locked down for test/production, and Pipelines automate the import chain across environments.
Versionskontrolle
AACFlow
Deployment rollback plus Copilot edit diff/revert (Quelle: AACFlow codebase: WorkflowDiffEngine, öffnet in neuem Tab)Deployed-version history with rollback for every workflow; server-persisted checkpoint/revert and visual diff (accept/reject) specifically for Copilot AI edits. Manual drag-and-drop undo/redo is client-side/localStorage only (capped at 100 ops, 5 stacks), not server-synced across devices. Deployment history does not include an arbitrary version-to-version diff tool, and knowledge base documents have no version history.
Microsoft Power Automate
Version history with restore, no diff view, no branching (Quelle: Version history in Power Automate flows, öffnet in neuem Tab)Server-persisted version history with restore, for solution-aware cloud flows only; no native visual diff/compare between versions; no explicit undo/redo in the flow editor; no branching model. The Version History panel lists timestamped snapshots and lets a user preview/restore a prior version as a new draft; desktop flows have a separate read-only version-comparison view. There is no branch-and-merge version control or in-editor undo/redo stack for cloud flows.
Echtzeit-Zusammenarbeit
AACFlow
(Quelle: AACFlow codebase: realtime presence handler (cursor/selection broadcast), öffnet in neuem Tab)Yes: live multiplayer editing of the same workflow canvas, with real-time cursors, selection broadcasting, and synced concurrent edits over a dedicated realtime backend
Microsoft Power Automate
(Quelle: Share a cloud flow - Power Automate | Microsoft Learn, öffnet in neuem Tab)No: Power Automate's cloud flow designer supports sharing a flow with co-owners and commenting on steps, but not live, concurrent multi-user editing with visible cursors and synced changes on the same flow. Microsoft's live coauthoring feature (visible cursors, simultaneous editing) exists for Power Apps Studio canvas apps, a separate product, not the Power Automate flow designer.. Power Automate flows are shared/co-owned (sequential editing, comments). Power Apps Studio, a different Power Platform product, has live coauthoring with cursors, but this is not documented for the Power Automate cloud flow designer itself.
Nativer Dateispeicher
AACFlow
(Quelle: AACFlow codebase: file share modal (password/email/SSO modes), öffnet in neuem Tab)Yes: a native Files area with folder hierarchy, link-based sharing (public, password, email OTP, or SSO auth), and a workspace-level Recently Deleted view covering workflows, tables, knowledge bases, files, and folders. Admins can restrict which share-auth modes (public/password/email/SSO) a permission group is allowed to use.
Microsoft Power Automate
(Quelle: SharePoint actions reference - Power Automate | Microsoft Learn, öffnet in neuem Tab)No: Power Automate has no file storage system of its own, no folder hierarchy, link-sharing, or recycle bin built into the product. File handling goes entirely through connectors to external services like SharePoint, OneDrive, or Dataverse, so those services' own sharing and recycle-bin features apply, not a Power Automate-native store.. File paths/links used in flows must point to an external SharePoint/OneDrive location; sharing-link mistakes are a documented common error, since there's no first-party file store inside Power Automate.
Native Datentabellen
AACFlow
(Quelle: AACFlow Docs: Tables, öffnet in neuem Tab)Yes: a native spreadsheet-like Tables feature (typed columns, not an external DB connector) with full keyboard support (arrow keys, Tab, copy-paste bulk load, Cmd/Ctrl+Z undo) and atomic per-row writes from multiple workflows at once. No public fixed row-limit figure is documented (guidance says paginate reads past ~100k rows); a workflow can also be wired to run per row via a "workflow column."
Microsoft Power Automate
(Quelle: Power Automate: How to Get More Than 100,000 Rows From a Dataverse Table, öffnet in neuem Tab)No: Power Automate/Power Platform has no lightweight, spreadsheet-like data table with arrow-key navigation and copy-paste. Its native structured-data store is Microsoft Dataverse, a full relational database with tables, relationships, and business rules built for enterprise data modeling rather than a simple spreadsheet UI. Default query limits, 5,000 rows per call, extendable to 100,000 via pagination, reflect a database, not a spreadsheet grid.. No lightweight spreadsheet-grid UI exists akin to Airtable/AACFlow Tables; Dataverse is the closest analog but is a relational database product.
Rich-Text-Dokumenteditor
AACFlow
(Quelle: AACFlow codebase: rich markdown editor, öffnet in neuem Tab)Yes: markdown files opened in the Files viewer render in an inline WYSIWYG-style rich markdown editor, with inline @-mention links to other AACFlow resources
Microsoft Power Automate
No: Power Automate has no inline rich-text/WYSIWYG editor for documents stored in the platform. It is a workflow-automation tool with action inputs (plain text boxes, expression editors) rather than a document-editing surface. Rich text is produced or consumed via connectors like Word Online or SharePoint, not a native editor inside Power Automate itself.. No built-in WYSIWYG document editor exists in Power Automate; document editing happens through separate connected apps like Word/SharePoint.
Sub-Workflows (Komposition)
AACFlow
(Quelle: AACFlow Docs: Workflow block, öffnet in neuem Tab)Yes: a Workflow block calls another saved workflow as a step, waits for it to finish, runs its latest deployed version, and maps parent variables into the child's input form. Self-references are blocked to prevent infinite recursion.
Microsoft Power Automate
(Quelle: Create child flows - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes: Power Automate supports child flows via the built-in "Run a Child Flow" action, which calls another flow as a step, waits for it to finish, and can pass inputs and receive its outputs back into the parent flow.. Child flows must use the "Manually trigger a flow" trigger and must be part of a solution to be callable this way; this is distinct from firing an independent flow asynchronously via HTTP/webhook.
Eigene Blöcke (organisationsweite Wiederverwendung)
AACFlow
(Quelle: AACFlow codebase: custom-blocks publish API (admin gate), öffnet in neuem Tab)Yes: a user with admin access on a workflow's workspace can publish its deployed version as a named, iconed custom block that appears in the block toolbar for the whole organization. Inputs are read live from the source workflow's Start block; the publisher picks which outputs to expose. The block always runs the source workflow's latest deployed version, and its internal steps and intermediate values are never exposed to consumers. Enterprise-gated. Distinct from the Workflow (sub-workflow) block, which composes a workflow the same author controls, and from custom code/tool blocks, which run inline code rather than a full deployed workflow.
Microsoft Power Automate
(Quelle: Create child flows - Power Automate | Microsoft Learn, öffnet in neuem Tab)No: Power Automate has no feature to publish a deployed flow as a named, iconed, encapsulated block that shows up in the action picker for the whole tenant/organization. The closest mechanisms are child flows ("Run a Child Flow"), which are scoped to makers with access to the same Dataverse solution, and manually wrapping a flow behind a Custom Connector, which requires hand-authoring an OpenAPI/Swagger definition instead of auto-deriving inputs from the flow.. Child-flow docs state a maker only sees "the flows only to which you have access and are located in a solution," so reuse is scoped to that solution's makers, not the whole org, and a caller can still open the child flow and see its steps and connections, no encapsulation. A Custom Connector can wrap any REST API (including a flow's own HTTP-triggered URL) so it appears as a reusable action, but the maker must hand-author or import an OpenAPI/Swagger definition describing its request/response shape, and the connector can be shared within the organization once created; it is the same generic API-wrapping mechanic Power Automate uses for any third-party API, not a one-click "publish this flow as a block" feature with live input derivation, hand-picked outputs, or automatic latest-deployed-version tracking.
Preise
CompareAACFlow vs Microsoft Power Automate
AACFlow
Microsoft Power Automate
Preismodell
AACFlow
Credit-based billing, BYOK exempt from caps (Quelle: AACFlow Pricing, öffnet in neuem Tab)Credit-based usage billing (Stripe), with bring-your-own-key exemption from metered caps
Microsoft Power Automate
Per-user/per-bot subscription tiers, billed annually (Quelle: Power Automate pricing page, öffnet in neuem Tab)Per-user/month and per-bot/month subscription tiers, billed annually, layered on top of Microsoft 365/Dynamics 365 licensing (some Power Automate capability is bundled into certain Microsoft 365 plans at limited scope). Three primary paid SKUs: Premium (per user), Process (per unattended bot), Hosted Process (per hosted unattended bot); plus a $5,000/tenant/month Process Mining add-on.
Günstigster kostenpflichtiger Tarif
AACFlow
Pro plan at $25/user/month (Quelle: AACFlow Pricing, öffnet in neuem Tab)Pro: $25 per user/month
Microsoft Power Automate
$15/user/month billed yearly (Quelle: Power Automate pricing page, öffnet in neuem Tab)Power Automate Premium. $15.00 per user/month, billed yearly. Includes cloud flows, attended desktop flows (RPA), and process/task mining with limited storage (50 MB storage, 250 MB Dataverse database, 2 GB file capacity).
Kostenloser Tarif
AACFlow
(Quelle: AACFlow Pricing, öffnet in neuem Tab)No free tier: usage is paid for with prepaid wallet credits or a paid plan
Microsoft Power Automate
30-day trial only, no permanent free tier (Quelle: Power Automate pricing page, öffnet in neuem Tab)30-day free trial of premium features (UI-based cloud flows and standard connectors), no permanent free tier on the official pricing page. Some Power Automate capability ships bundled inside certain Microsoft 365 subscriptions, but the dedicated Power Automate pricing page lists only a time-limited trial, not an ongoing free plan.
Eigener Schlüssel (BYOK)
AACFlow
(Quelle: AACFlow Docs: Bring Your Own Key (BYOK), öffnet in neuem Tab)Yes: bring-your-own-key support exempts usage from metered credit caps, and multiple keys stored for the same provider are automatically round-robin rotated, with automatic fallback past any key that fails to decrypt
Microsoft Power Automate
Not publicly documentedNot publicly documented: no bring-your-own-key option exists for Power Automate/Copilot Studio AI features. Model selection (OpenAI, Anthropic, Azure AI Model Catalog) is admin-toggled at the tenant level via Microsoft-hosted model access, rather than a customer-supplied API key.
Sicherheit und Compliance
CompareAACFlow vs Microsoft Power Automate
AACFlow
Microsoft Power Automate
SOC 2
AACFlow
(Quelle: AACFlow Landing Page, öffnet in neuem Tab)No third-party SOC 2 report is claimed
Microsoft Power Automate
SOC 2 Type 2 in-scope for Commercial and GCC only (Quelle: System and Organization Controls (SOC) 2 Type 2 - Microsoft Compliance | Microsoft Learn, öffnet in neuem Tab)Power Automate is SOC 2 Type 2 in-scope for Commercial and GCC environments only. It is not in-scope for GCC High or DoD in that attestation, separate from the product's general availability in those government clouds.. Microsoft's compliance documentation lists Power Automate among in-scope Commercial/GCC services.
Datenspeicherort
AACFlow
Cloud region toggle is global, not per-customer (Quelle: AACFlow codebase: async job region resolution, öffnet in neuem Tab)On AACFlow Cloud, async job execution has an internal US/EU region toggle, but it is deployment-wide, not a customer-selectable per-workspace residency option
Microsoft Power Automate
(Quelle: SOC 2 Type 2 - Microsoft Compliance | Microsoft Learn, öffnet in neuem Tab)Yes: environments/regions can be selected at creation to control where Dataverse and related customer data resides, with data kept within the chosen geography (Microsoft may replicate only within the same geographic area for resiliency). Per Microsoft's SOC 2 documentation on Office 365 environments (Commercial, GCC, GCC High, DoD) and Power Platform admin guidance on selecting environment region for residency.
Rollenbasierte Zugriffskontrolle
AACFlow
(Quelle: AACFlow Docs: Roles and Permissions, öffnet in neuem Tab)Yes: admin/write/read workspace permissions, org-level admin/member roles, plus Enterprise-tier permission groups that allow/deny-list specific models, tools, and integrations per group on top of those base roles. See modelAndToolGovernance and credentialGovernance for the finer-grained permission-groups layer.
Microsoft Power Automate
(Quelle: Role-based security roles for Dataverse - Power Platform | Microsoft Learn, öffnet in neuem Tab)Yes: Dataverse role-based security roles control access to environment resources, apps, tables, and specific records; Environment Admin/Power Platform Admin roles govern DLP and environment-level administration. Security roles can be scoped to an entire environment or to specific apps/data; separate from Data Loss Prevention (DLP) policies which restrict which connectors can be combined in a flow.
Audit-Protokollierung
AACFlow
(Quelle: AACFlow codebase: auditLog table, öffnet in neuem Tab)Yes: dedicated audit_log table plus workflow execution logs, exposed via a public /v1/audit-logs API (Enterprise plan), plus continuous SIEM/warehouse export to Datadog, S3, GCS, Azure Blob, BigQuery, or Snowflake via a data-drains dispatcher
Microsoft Power Automate
Likely covered by M365 unified audit log, not confirmedNot fully confirmed: the Microsoft 365 unified audit log captures Power Platform admin and maker activity, but no dedicated documentation confirms flow-level audit logging specific to Power Automate. General Microsoft 365 audit logging likely covers Power Automate activity, but a Power Automate-specific audit logging reference does not exist.
Zusätzliche Compliance
AACFlow
None claimed (Quelle: AACFlow Enterprise Page, öffnet in neuem Tab)None claimed. No additional third-party certification is claimed.
Microsoft Power Automate
HIPAA/BAA, CSA CCM, BSI C5:2020; ISO/FedRAMP at platform level (Quelle: SOC 2 Type 2 - Microsoft Compliance | Microsoft Learn, öffnet in neuem Tab)HIPAA/HITECH (Microsoft will sign a BAA as a business associate) and inclusion in the broader Office 365/Azure compliance program, which separately covers ISO 27001, FedRAMP, and other certifications at the Azure/Office 365 platform level. The SOC 2 Type 2 report also incorporates the Cloud Security Alliance CCM and German BSI C5:2020 criteria.. HIPAA/BAA support and CSA CCM/BSI C5:2020 coverage are documented directly in Microsoft's SOC 2 documentation. No Power Automate-specific ISO 27001/FedRAMP attestation page exists, so treat those two as platform-level coverage rather than product-specific certification.
Modell- und Tool-Governance
AACFlow
(Quelle: AACFlow codebase: PermissionGroupConfig (allowedModelProviders, deniedModels, deniedTools), öffnet in neuem Tab)Yes: enterprise "permission groups" let an admin allow-list/deny-list specific LLM providers and models, and separately deny specific tools/integrations (or disable all MCP or custom tools) per group, layered on top of workspace admin/write/read roles. This does not control whether an LLM provider retains prompts. AACFlow offers no "zero data retention" mode or governed AI gateway. A separate, Enterprise-gated feature lets orgs set a log-retention window and redact PII, but that only controls how long AACFlow itself keeps execution logs.
Microsoft Power Automate
Not publicly documentedNot publicly documented. No dedicated model/tool governance controls exist for Power Automate agents beyond general DLP and security roles.
Governance für Anmeldedaten
AACFlow
(Quelle: AACFlow Docs: Roles and Permissions, öffnet in neuem Tab)Yes: shared credentials (connected accounts, service accounts, workspace secrets) are their own nested permission level (Member/Admin) below organization and workspace roles, and enterprise permission groups can further allow-list specific integrations and restrict which file-share auth modes (public/password/email/SSO) a group may use. A user's personal environment variables/secrets are never shared or inherited by anyone, including org owners/admins.
Microsoft Power Automate
(Quelle: Data policies - Power Platform | Microsoft Learn, öffnet in neuem Tab)No: Power Platform governs connectors through Data Loss Prevention (DLP) policies that classify entire connectors into Business/Non-Business/Blocked groups at the tenant or environment level, plus Advanced Connector Policies that can restrict specific connector actions/endpoints. This is connector- and action-level governance and does not let admins restrict which specific stored credential or connection a given role or permission group may use.. DLP policies and Advanced Connector Policies operate at the connector/action/endpoint level (e.g., block the SharePoint connector tenant-wide), not at the level of 'this role may only use credential X, not credential Y' for the same connector.
Single Sign-on (SSO)
AACFlow
(Quelle: AACFlow Docs: Single Sign-On (SSO), öffnet in neuem Tab)Yes: SAML 2.0 and OIDC single sign-on, with users routed to SSO by their email domain, plus SCIM 2.0 directory provisioning for Okta, Microsoft Entra ID, OneLogin, and JumpCloud that creates, updates, deactivates, and removes members and maps pushed groups to permission groups, workspace access, and the organization admin role
Microsoft Power Automate
(Quelle: Set up a SAML 2.0 provider with Microsoft Entra ID - Power Pages | Microsoft Learn, öffnet in neuem Tab)Yes: Power Platform is built on Microsoft Entra ID (Azure AD), which natively supports SAML/OIDC single sign-on plus automatic user/app provisioning (SAML Just-in-Time and SCIM-based). Organizations signing in via Entra ID SSO get org-level access without manual per-user account setup. Power Pages/portals additionally document explicit SAML 2.0 setup with Entra ID as an identity provider.. SSO/provisioning is inherited from the Microsoft 365/Entra ID tenant rather than a Power Automate-specific setting, standard for Microsoft's enterprise stack.
Individuelle Sitzungsrichtlinie
AACFlow
(Quelle: AACFlow Docs: Session Policies, öffnet in neuem Tab)Yes: Enterprise organization owners and admins can set a max session lifetime (1 to 8,760 hours from sign-in, regardless of activity) and an idle timeout (48 to 8,760 hours without activity), applied to every member on every device. Both limits are optional; leaving them empty keeps the default of 30-day sessions that extend automatically while a member stays active. A separate "Sign out all members" action immediately revokes every member session in the organization except the admin's own, for use after a security incident or an offboarding wave. The 48-hour idle floor exists because session activity is recorded at most once per day, so a shorter window could sign out members who are actively working.
Microsoft Power Automate
Per-environment timeouts, documented for Dataverse and Dynamics 365 apps (Quelle: Security enhancements for user sessions and access management - Power Platform | Microsoft Learn, öffnet in neuem Tab)Partial: an admin can turn on Session Expiration per environment from the Power Platform admin center (Settings > Product > Privacy + Security) and set a maximum session length between 60 and 1,440 minutes (24 hours) plus a timeout warning of at least 20 minutes, and separately turn on an Inactivity timeout from a minimum of 5 minutes up to less than the session length. Both apply to all users in the environment and override the default Microsoft Entra ID session policy, which itself is admin-configurable through Conditional Access sign-in frequency (default a rolling 90-day window, requiring an Entra ID P1 or P2 license). The qualifier is scope: Microsoft frames these settings as protecting "customer engagement apps, such as Dynamics 365 Sales, Dynamics 365 Customer Service" and Dataverse, and names first-party surfaces that do not enforce them; enforcement for the Power Automate maker portal itself is not documented on that page.. Microsoft documents these settings for Dataverse and the customer engagement apps, and lists surfaces that do not enforce them, including Power Apps canvas apps, Dynamics 365 for Outlook, and the Dynamics 365 phone and tablet apps. Changed values take effect the next time a user signs in; session timeout is enforced server-side while inactivity timeout is a client-side sign-out.
Geprüfte native Integrationen
AACFlow
(Quelle: AACFlow codebase: first-party block directory, öffnet in neuem Tab)Yes: every one of AACFlow's 266 blocks is first-party authored and code-reviewed through the standard pull-request process in the main AACFlow repository; there is no public marketplace where an arbitrary third party can publish and have other users install executable tool code without going through AACFlow's own review. Custom code steps run inside AACFlow's own isolated-vm sandbox rather than as an installable third-party skill package, so the supply-chain trust boundary is AACFlow's codebase review, not an open registry.
Microsoft Power Automate
Certified catalog is vetted; custom connectors bypass review and DLP (Quelle: Independent publisher certification process - Microsoft Learn, öffnet in neuem Tab)Partial: the certified connector catalog (1,400+ connectors, including third-party 'Independent Publisher' submissions) goes through a Microsoft Certification team review, identity/credential verification of the publisher, and swagger/endpoint/security validation before being listed. But any user or org can also build and share 'custom connectors' that call arbitrary APIs, bypassing the certification catalog entirely with no Microsoft security review. Zenity's security research found custom connectors can reach connectors otherwise blocked by Data Loss Prevention (DLP) policies, a documented DLP-bypass tied to the custom-connector path specifically.. This is not an open, install-anything marketplace like n8n community nodes: independent publishers must pass identity verification and a Microsoft-run technical/security review to appear in the shared connector catalog. The gap is the separate custom-connector mechanism, which lets any maker define and use an unreviewed connector inside their own environment, and which Zenity's research showed can be abused to bypass connector-level DLP blocks.
Schwärzung personenbezogener Daten (PII)
AACFlow
(Quelle: AACFlow Docs: Guardrails Block, öffnet in neuem Tab)Yes: a Guardrails workflow block detects and blocks or masks PII (30+ entity types across the US, UK, and several other countries) via Microsoft Presidio, in addition to the org-level data-retention PII policy applied to stored data
Microsoft Power Automate
(Quelle: Microsoft Purview DLP for Microsoft 365 Copilot and Copilot Chat | Microsoft Learn, öffnet in neuem Tab)Yes, but as a block rather than a redaction: Microsoft Purview DLP for Microsoft 365 Copilot can block files/emails with sensitivity labels from being processed (generally available) and, in preview, can block prompts containing sensitive information types like SSNs and credit card numbers. It stops sensitive content from being processed rather than redacting it in-line, and is not a feature built into Power Automate flows themselves.. This is Microsoft Purview functionality (a separate, integrated compliance product). Blocking prompts with sensitive information types is still a preview capability, not GA; DLP protection for agents built in Copilot Studio is currently limited to sensitivity-label-based restriction when the knowledge source is SharePoint, not general SIT-based prompt blocking, and none of this is a native Power Automate flow-content feature.
Individuelle Datenaufbewahrung
AACFlow
(Quelle: AACFlow Docs: Data Retention, öffnet in neuem Tab)Yes: Enterprise orgs can independently configure log retention, soft-deletion cleanup, and Chat/Copilot task cleanup (chats, runs, checkpoints, Inbox tasks) at 1 day to 5 years or Forever, applied org-wide with no per-workspace override
Microsoft Power Automate
(Quelle: Manage cloud flow run history in Dataverse - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes: Power Platform admins can configure the run-history retention (time-to-live) for cloud flow runs stored in Dataverse via the Power Platform admin center, choosing 28 days (default), 14 days, 7 days, or Disabled, and can set a fully custom retention value directly via the Dataverse Organization table's FlowRunTimeToLiveInSeconds field.. Configured per environment in the Power Platform admin center (Environments > Settings > Product > Features); custom values beyond the UI presets require a direct Dataverse table edit.
White-Labeling
AACFlow
(Quelle: AACFlow Docs: Whitelabeling, öffnet in neuem Tab)Yes: Enterprise orgs can replace the logo, wordmark, brand name, and primary/accent theme colors across the workspace UI with their own
Microsoft Power Automate
(Quelle: Power Apps Portal Custom Domains - d365update.com, öffnet in neuem Tab)No: Power Platform offers only partial branding options, such as custom domains for Power Pages/portals, and lacks native white-labeling for the core app/flow UI. There is no native way to rebrand or remove Microsoft branding from canvas apps or the Power Apps/Power Automate product UI itself.. Custom domains exist only for Power Pages (portals), not for canvas apps, model-driven apps, or the Power Automate flow designer itself.
KI-Fähigkeiten
CompareAACFlow vs Microsoft Power Automate
AACFlow
Microsoft Power Automate
Multi-LLM-Unterstützung
AACFlow
21 providers plus dynamic-resolution aggregators (OpenRouter, LiteLLM, etc.) (Quelle: AACFlow codebase: PROVIDER_DEFINITIONS, öffnet in neuem Tab)21 provider integrations (OpenAI, Anthropic, Google/Gemini, Azure OpenAI, Azure Anthropic, Groq, Cerebras, Mistral, xAI, Bedrock, Vertex, Ollama, OpenRouter, and more), with OpenRouter, LiteLLM, vLLM, and Ollama resolving models dynamically at runtime rather than from a fixed list, so effective model reach extends well beyond the 21 named providers. apps/sim/providers/models.ts defines 21 provider entries.
Microsoft Power Automate
(Quelle: Anthropic joins the multi-model lineup in Microsoft Copilot Studio, öffnet in neuem Tab)Yes: Copilot Studio (the agent-building surface Power Automate integrates with) supports OpenAI GPT models plus Anthropic Claude Sonnet 4/Opus 4.1, and any model in the Azure AI Model Catalog, selectable per-prompt/per-agent; OpenAI remains the default. Admins enable/restrict Anthropic models tenant-wide in the Microsoft 365 Admin Center; if disabled, agents automatically fall back to the default OpenAI GPT-4o model. Google Gemini is not a supported option.
Agent-Reasoning-Blöcke
AACFlow
(Quelle: AACFlow codebase: block registry, öffnet in neuem Tab)Yes: dedicated agent, function-calling, RAG, code-execution, and evaluation blocks, not just data routing
Microsoft Power Automate
Generative orchestration plus multi-agent routing (Quelle: Apply generative orchestration capabilities - Microsoft Copilot Studio | Microsoft Learn, öffnet in neuem Tab)Copilot Studio offers 'generative orchestration', autonomous, reasoning-driven tool/action selection, as an alternative to a fixed decision-tree/topic flow, plus multi-agent orchestration across specialized agents. Generative orchestration lets an agent choose actions dynamically instead of following a fixed topic flow, and multi-agent setups can route work to specialized agents, potentially using different models per task.
Erstellung in natürlicher Sprache
AACFlow
(Quelle: AACFlow Docs: Copilot, öffnet in neuem Tab)Yes: Chat + in-editor AI Copilot can build and modify workflows from natural-language requests
Microsoft Power Automate
(Quelle: Power Automate product page, öffnet in neuem Tab)Yes: Copilot in Power Automate lets makers create, edit, and extend process automation faster using natural language. Stated directly on the official product page as an AI Authoring capability.
Wissensdatenbank / RAG
AACFlow
(Quelle: AACFlow codebase: KB schema (pgvector + tsvector), öffnet in neuem Tab)Yes: hybrid vector (pgvector) plus full-text (tsvector) search knowledge base, 11 supported file formats (csv, doc, docx, html, json, md, pdf, pptx, txt, xlsx, yaml), configurable chunking, plus 51 connectors that continuously sync external sources (Google Drive, Confluence, Slack, Gmail, GitHub, HubSpot, Linear, Jira, and more) into the knowledge base rather than a one-shot upload
Microsoft Power Automate
(Quelle: Dataverse Is Your Agent Data Platform - Microsoft Power Platform Blog, öffnet in neuem Tab)Yes: agents can be grounded via Retrieval-Augmented Generation over Dataverse tables and connectors to systems like Salesforce, Oracle, SAP, and Zendesk (Power Automate prompts only), using a semantic search index. Dataverse is positioned as the agent data platform: the same semantic search index powering Power Apps global search provides retrieval/grounding for Copilot, agents, and MCP tools.
MCP-Unterstützung
AACFlow
(Quelle: AACFlow Docs: Using MCP Tools, öffnet in neuem Tab)Yes: both MCP client (call external MCP servers) and MCP server (expose AACFlow workflows as MCP tools)
Microsoft Power Automate
(Quelle: Connect your agent to an existing MCP server - Microsoft Copilot Studio | Microsoft Learn, öffnet in neuem Tab)Yes, as a client: Copilot Studio agents can connect to external MCP servers and add their tools/resources. Power Automate has no feature that publishes a flow as its own MCP server for external AI clients to call; see integrations.mcpPublishing for that reverse-direction detail.. Requires generative orchestration to be enabled on the agent; tools/resources dynamically update as the connected MCP server changes. The separate Power Apps MCP Server is a fixed, Microsoft-defined server with a small predefined toolset, not a way to publish a custom flow as an MCP endpoint.
Evaluierung und Guardrails
AACFlow
LLM-judge Evaluator plus Guardrails validation block (Quelle: AACFlow Docs: Evaluator Block, öffnet in neuem Tab)Evaluator block (LLM-judge scoring against user-defined named metrics) and Guardrails block (JSON validity, regex, RAG/hallucination scoring, PII detection/masking). These are per-call scoring/validation primitives, not a batch golden-dataset eval-suite runner or A/B prompt-testing harness.
Microsoft Power Automate
No dedicated eval/guardrail framework foundNot publicly documented: Power Automate has no dedicated eval/guardrail testing framework for flows, distinct from Copilot Studio's general content moderation and data loss prevention controls. Data Loss Prevention policies restrict which connectors can be combined, but there is no dedicated LLM-output evaluation or guardrail testing harness specific to flows.
Human-in-the-Loop
AACFlow
(Quelle: AACFlow Docs: Human in the Loop Block, öffnet in neuem Tab)Yes: dedicated approval block that pauses a run and waits for a human-submitted "Resume Form," with durable pause/resume via persisted execution snapshots and notification hooks (e.g. Slack, email) carrying the resume link
Microsoft Power Automate
(Quelle: Get started with Power Automate approvals - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes: a dedicated 'Start and wait for an approval' action pauses the flow run until a designated approver responds via the Power Automate mobile app, email, or Microsoft Teams notification, then resumes down Approve/Reject/custom-response branches. Supports first-to-respond or everybody-must-approve modes, custom response options beyond approve/reject, and timeout/escalation branches for production-grade approval chains.
Generative Medien
AACFlow
(Quelle: AACFlow codebase: Image Generator V2, öffnet in neuem Tab)Yes: dedicated image (3 provider families incl. OpenAI, Gemini, Fal.ai proxy), video (5 provider families incl. Runway, Veo, Luma, Hailuo, Fal.ai proxy), text-to-speech (7 providers), and speech-to-text (5 providers) blocks
Microsoft Power Automate
Captioning and text gen only, no native image/audio generation (Quelle: AI Builder in Power Automate overview - Microsoft Learn, öffnet in neuem Tab)Partial: AI Builder ships an image-description (captioning) model and GPT-based text generation/summarization via the current prompt builder ('Create text using a prompt'/'Run a prompt'), but no dedicated native image-generation, video-generation, or text-to-speech/speech-to-text block exists in its catalog. Generating images or audio requires calling an external connector, such as Azure OpenAI DALL-E or Azure AI Speech, rather than a first-party AI Builder generative-media model.
Dynamische Tool-Nutzung
AACFlow
(Quelle: AACFlow codebase: agent tool resolution (pre-wired only), öffnet in neuem Tab)No: an Agent block calls tools the workflow author explicitly added to it at build time, rather than browsing and picking from a broader pool (e.g. an entire MCP server catalog) at inference time. Runtime MCP "discovery" exists to resolve/refresh the schema of an already-configured tool. The model does not browse or choose from the server's full tool list.
Microsoft Power Automate
Not publicly documentedNot publicly documented. No confirmed information found on dynamic tool-selection behavior for Power Automate/Copilot Studio agents.
Automatischer Modell-Fallback
AACFlow
(Quelle: AACFlow codebase: executeProviderRequest (no retry/fallback), öffnet in neuem Tab)No: a failed or rate-limited LLM call is retried using AACFlow's own hosted API keys for the same model, rather than automatically switching to a different model or provider. A "fallback" comment in the provider layer refers to rotating among AACFlow's own hosted API keys for the same model, not switching models.
Microsoft Power Automate
(Quelle: Anthropic joins the multi-model lineup in Microsoft Copilot Studio, öffnet in neuem Tab)Yes: Copilot Studio automatically falls back to the default OpenAI GPT-4o model when a selected alternate model (such as Anthropic Claude) is disabled or unavailable. Documented directly for Copilot Studio's multi-model support ('If Anthropic models are disabled, agents built with it will automatically switch to the default model, OpenAI GPT-4o, with no additional configuration required'); a separate confirmation specific to Power Automate flows themselves was not found.
Agent-Skills
AACFlow
(Quelle: AACFlow Docs: Agent skills, öffnet in neuem Tab)Yes: named, reusable "Agent Skills" (built on the open Agent Skills / SKILL.md format) that agents load on demand via progressive disclosure, editable in-app or imported from a SKILL.md file or GitHub URL. Only the skill name and description sit in the agent's system prompt (~50-100 tokens each); the full instructions load into context only when the agent calls load_skill.
Microsoft Power Automate
(Quelle: Skills overview for agents (preview) - Microsoft Copilot Studio | Microsoft Learn, öffnet in neuem Tab)Yes: Microsoft Copilot Studio (the same agent layer Power Automate's agentic flows build on) supports 'Skills', reusable capabilities defined once (name, description, Markdown instructions) using the same open, portable Markdown/SKILL.md-style format underlying the broader Agent Skills ecosystem, exported as Markdown/ZIP packages and reused across multiple agents, distinct from a one-off system prompt.. This is a preview feature in the new Copilot Studio agent experience (part of the Power Platform, adjacent to Power Automate); skills are self-contained, portable instruction sets separate from tools/knowledge, the same open-format approach AACFlow uses, rather than a proprietary lock-in format.
Native Chat-Bereitstellung
AACFlow
(Quelle: AACFlow Docs: Chat Deployment, öffnet in neuem Tab)Yes: a workflow can be deployed as a public, shareable Chat interface with selectable auth (public, password, email OTP, or SSO), in addition to API and MCP deployment targets
Microsoft Power Automate
(Quelle: Microsoft Copilot Studio | Create AI Agents, öffnet in neuem Tab)Yes: Copilot Studio, the Power Platform's agent-building tool that natively integrates with Power Automate (agents can trigger cloud flows), lets builders publish agents as a deployable chat surface, a website chat widget, Teams, and other channels, not just a form, API, or webhook.. Chat deployment lives in Copilot Studio rather than Power Automate proper, but the two products are integrated (flows can be triggered from or trigger Copilot Studio agents).
Parallele Ausführung
AACFlow
(Quelle: AACFlow Docs: Parallel block, öffnet in neuem Tab)Yes: a native Parallel block fans a run out into concurrent branches (fixed count or one per list item) and joins their results back into the workflow automatically. Contained blocks run concurrently instead of sequentially, either a fixed number of times or once per item in a list/collection, and each branch's output aggregates for downstream blocks.
Microsoft Power Automate
(Quelle: Optimize flows with parallel execution and concurrency - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes: a flow can add a dedicated 'Parallel branch' from any step, so multiple branches of actions execute concurrently rather than sequentially, and the flow only continues once all parallel branches complete.. Added via the '+' icon between steps, then 'Add a parallel branch'; this is a native canvas feature, not a workaround using separate flows or a sequential loop. Microsoft's guidance doesn't publish a specific numeric limit on the number of parallel branches in a flow (a separate, unrelated setting lets a maker set 'Apply to each' loop concurrency from 1 to 50).
Agent2Agent-Protokoll (A2A)
AACFlow
(Quelle: AACFlow Docs: A2A integration, öffnet in neuem Tab)Yes: a dedicated A2A block sends messages to, tracks and cancels tasks on, and discovers the capabilities of any Agent2Agent (A2A)-compliant external agent via its Agent Card
Microsoft Power Automate
(Quelle: Connect to an agent over the Agent2Agent (A2A) protocol - Microsoft Copilot Studio | Microsoft Learn, öffnet in neuem Tab)Yes, native support: Copilot Studio agents can connect to an external agent that implements the open Agent2Agent (A2A) protocol, letting the Copilot Studio agent delegate a task to the remote A2A agent and receive back a structured response (including full chat-history metadata for context continuity), rather than only calling it as a plain HTTP API.. Configured from the agent's Agents page via 'Add an agent' > 'Connect to an external agent' > 'Agent2Agent', pointing at the remote agent's endpoint URL (with None, API key, or OAuth 2.0 authentication); Copilot Studio auto-populates the agent's name/description from its `.well-known` agent card when available.
Schleifen-/Iterationsblock
AACFlow
(Quelle: AACFlow Docs: Loop block, öffnet in neuem Tab)Yes: a Loop container block runs the blocks inside it repeatedly (For a fixed count, ForEach over a collection, While a condition holds, or Do-While), running iterations one after another; concurrent fan-out is a separate Parallel block
Microsoft Power Automate
(Quelle: Use the Apply to each action - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes: Power Automate provides built-in loop containers, the "Apply to each" action iterates over a list/array and the "Do until" action repeats a set of actions until a condition or state is met, each running its iterations sequentially by default.. Apply to each can optionally run with concurrency (parallel iteration) via a setting, but sequential execution is the default behavior; Do until requires a defined exit condition and has a configurable iteration/timeout limit.
Integrationen
CompareAACFlow vs Microsoft Power Automate
AACFlow
Microsoft Power Automate
Integrationen
AACFlow
1,000+ integrations (266 blocks, ~3,900 tool actions) (Quelle: AACFlow codebase: BLOCK_REGISTRY, öffnet in neuem Tab)1,000+ integrations counting individual API actions, built from 266 first-party blocks and roughly 3,900 underlying tool actions. AACFlow's landing page cites the "1,000+ integrations" figure; the block/tool-action counts are the same integration surface measured at a different level of granularity.
Microsoft Power Automate
1,400+ certified connectors (Quelle: Power Platform celebrates 1000 certified connectors, öffnet in neuem Tab)1,400+ certified connectors (per current Power Automate product page), up from the 1,000-connector milestone announced May 2023. Connectors span first-party, verified-publisher, and independent-publisher tiers, split into Standard and Premium.
Trigger-Typen
AACFlow
Webhook, cron, chat, REST API, 61 app triggers, plus a diff-aware Tables trigger (Quelle: AACFlow Docs: Triggers overview, öffnet in neuem Tab)Webhook, schedule/cron, chat, REST API, and event-based triggers for 61 apps (Slack, Gmail, GitHub, Stripe, etc.), plus a native row-level trigger on AACFlow Tables that fires on insert/update with an optional column watch-list and emits a before/after diff
Microsoft Power Automate
Connector, schedule, manual, HTTP/webhook, and Dataverse triggers (Quelle: Triggers - Power Automate | Microsoft Learn, öffnet in neuem Tab)Connector-event triggers (e.g., new email, new SharePoint item), scheduled/recurrence triggers, manual/instant triggers (incl. mobile), the 'When an HTTP request is received' webhook trigger, and Dataverse 'row added, modified, or deleted' triggers. Desktop flows (RPA) are launched from a cloud flow via the 'Run a flow built with Power Automate for desktop' action, in attended or unattended mode, rather than having their own independent trigger type.. Trigger types span connector events, schedules, manual buttons, HTTP request/webhook endpoints, and Dataverse record changes; desktop-flow automation is invoked as a cloud-flow action, not a standalone trigger category.
Eigene Code-Schritte
AACFlow
(Quelle: AACFlow Docs: Function block, öffnet in neuem Tab)Yes: code-execution block for custom logic
Microsoft Power Automate
(Quelle: Custom Connector for an Azure Function used with Power Automate, öffnet in neuem Tab)Yes: custom connectors can wrap Azure Functions or any REST/SOAP API and optionally support uploaded code for request/response transformation. There is no generic 'run inline script' step in a standard cloud flow, though Power Automate for desktop supports scripting actions like PowerShell/VBScript.. Custom Connectors wrap a Web API or Azure Function; code upload in a custom connector applies transformation logic to requests/responses.
Konfigurierbare Code-Sandboxes
AACFlow
(Quelle: AACFlow Docs: Function block - Sandboxes, öffnet in neuem Tab)Yes: named sandboxes a workspace maintains and a Function block selects, each declaring a language, its pip or npm dependencies, optional Debian/APT system packages, and optional managed CLI tools from a catalog grouped by cloud, Kubernetes, infrastructure, deployment, data and storage, and security tools; on aacflow.io they require an active Max or Enterprise plan. Only workspace admins can create or edit sandboxes, in Settings → Sandboxes. On aacflow.io each specification is prebuilt into a reusable image so runs pay no install cost. Two sandboxes with the same language, dependency list, system packages, and managed CLI tools share one build. Every managed CLI entry uses a pinned, integrity-checked vendor artifact. With no sandbox selected, remote code runs on the dedicated Function base; import-free JavaScript stays in the local isolated runtime and ignores the sandbox selection either way.
Microsoft Power Automate
(Quelle: Scripting actions reference - Power Automate | Microsoft Learn, öffnet in neuem Tab)No: the code surface Power Platform exposes runs on a fixed, Microsoft-curated runtime. Custom connector code is C# against .NET Standard 2.0, and Microsoft states the environment is closed — "Not all C# namespaces are supported. Currently, you can use functions from the following namespaces only" — with one script file per connector, capped at 1 MB, and no mechanism to declare third-party packages or system packages. Microsoft's developer guidance routes custom server-side logic out of the product instead, to custom connectors and Azure Functions ("Build Azure Functions: Craft Azure Functions to extend apps with custom server-side logic"), whose dependencies are managed in Azure; an Office Script invoked through the Excel Online (Business) "Run script" action likewise runs in the Office Scripts runtime. The scripting actions in Power Automate for desktop do accept externally supplied dependencies (the Run Python script action takes "Module folder paths", documented as "the paths of folders where external Python modules lie", and Run .NET script takes a "References to be loaded" root path for .dll files), but the Python version is limited to a choice of 2.7 or 3.4, dependencies must be pre-staged on disk rather than declared as a package manifest, and those actions run on a customer-managed Windows machine rather than in a managed cloud runtime.. Power Automate for desktop also supports environment-level custom actions: an organization uploads signed .dll files plus their dependency .dll files as a .cab package, capped at 30 MB per custom action group, and all dependencies used in custom actions must be the same version as those in Power Automate for desktop itself. That is assembly-level extension of a locally installed runtime rather than a declarative package/system-package manifest for a hosted sandbox. Microsoft states the constraint affirmatively for the in-product code surface rather than merely omitting the feature: the supported namespace list for custom connector code is enumerated and closed, and the supported .NET version is pinned to .NET Standard 2.0.
API-Veröffentlichung
AACFlow
(Quelle: AACFlow Docs: API Reference - Getting Started, öffnet in neuem Tab)Yes: a public REST API (mostly under /api/, with /api/v1 reserved for logs and audit-log endpoints) supporting API-triggered workflow execution and deployment rollback. The API reference does not document SSE streaming, a resumable event buffer, a dedicated API-trigger block, or a chat-deployment surface as part of the REST API itself.
Microsoft Power Automate
HTTP-triggered flows act as callable API endpoints (Quelle: Add OAuth authentication for HTTP request triggers - Power Automate | Microsoft Learn, öffnet in neuem Tab)Flows can be triggered via HTTP Request triggers (effectively exposing a flow as a callable webhook/API endpoint); Dataverse/Power Platform also expose Web API endpoints for programmatic access. HTTP-triggered flows are a widely used pattern for exposing a flow as a lightweight API endpoint, and Dataverse/Power Platform separately expose Web API endpoints for programmatic access.
SDKs und Erweiterbarkeit
AACFlow
Official Python and TypeScript SDKs, plus MCP, code block, and A2A protocol (Quelle: AACFlow Docs: Python SDK, öffnet in neuem Tab)Official client SDKs exist for Python (aacflow-sdk, pip install aacflow-sdk) and TypeScript/JavaScript (aacflow-sdk, npm install aacflow-sdk), both wrapping the REST API (x-api-key header) with methods like execute_workflow / executeWorkflow, retry-with-backoff, and usage-limit lookups. Extensibility is further extended by MCP (client + server), a sandboxed code-execution block (JS/Python), custom tools, and an Agent-to-Agent (A2A) protocol block for external agent interop
Microsoft Power Automate
Custom connector SDK, pac CLI, open-source connector repo (Quelle: microsoft/PowerPlatformConnectors GitHub repo, öffnet in neuem Tab)Custom connector SDK/framework (OpenAPI-based definitions, code plug-ins), Power Platform CLI (pac CLI) for solution/connector development, and the open-source PowerPlatformConnectors GitHub repo for community-contributed connector certification submissions. There is no separate marketplace of independently monetized third-party integrations distinct from the certified connector catalog.. microsoft/PowerPlatformConnectors is the public GitHub repo where community and partners submit connector definitions for certification into the shared Power Automate/Power Apps/Logic Apps connector catalog.
Als MCP-Server veröffentlichen
AACFlow
(Quelle: AACFlow Docs: MCP Deployment, öffnet in neuem Tab)Yes: any deployed workflow can be published as a tool on an MCP server (private, API-key protected, or public/no-auth), with ready-to-paste client config generated for Codex, Cursor, Claude Code, Claude Desktop, and VS Code
Microsoft Power Automate
(Quelle: Add tools and resources from a Model Context Protocol (MCP) server to your agent - Microsoft Copilot Studio | Microsoft Learn, öffnet in neuem Tab)No: Power Platform/Copilot Studio primarily consumes MCP servers (adding an existing MCP server's tools/resources to an agent), the reverse direction. Microsoft offers its own fixed 'Power Apps MCP Server' with a handful of predefined tools that agents call into, plus a Dataverse MCP connector, but no feature lets a builder publish an arbitrary custom Power Automate flow as its own callable MCP server for external AI tools to invoke.. Microsoft's own Power Apps MCP Server and a Dataverse MCP connector expose fixed, Microsoft-defined tool sets, distinct from a maker publishing a specific custom flow as its own MCP endpoint.
Observability und Ausfallsicherheit
CompareAACFlow vs Microsoft Power Automate
AACFlow
Microsoft Power Automate
Tracing und Observability
AACFlow
(Quelle: AACFlow codebase: TraceSpan tree builder, öffnet in neuem Tab)Yes: execution logs include a per-block/per-span trace view (duration, cost, token counts, and latency stats like TTFT/TPS) with expandable nested iteration groups, plus a "View Snapshot" frozen copy of the workflow structure and block states at run time for debugging. This trace view is built directly into AACFlow rather than a raw export browsable in an external tool like Jaeger, and does not expose aggregate latency-percentile charts (p50/p95/p99). The run snapshot serves as a log-detail/debugging artifact rather than a resumable mid-run checkpoint.
Microsoft Power Automate
(Quelle: Monitor your flows - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes: per-run execution detail shows each action's inputs/outputs/duration/errors, plus a customer-facing Analytics dashboard summarizing run counts, success/failure rate, average execution time, and a 30-day rolling run history. The Analytics dashboard is available directly on a flow's details page; individual run details expose a per-action execution trace.
Ausfallsicherheit und Wiederholungen
AACFlow
Tool-call retries (up to 10x); single-attempt job orchestration (Quelle: AACFlow codebase: ToolRetryConfig (exponential backoff), öffnet in neuem Tab)Individual tool/API calls have configurable exponential-backoff retry (up to 10 attempts). The background job-orchestration layer itself retries only once by design. Durability instead comes from consecutive-failure tracking on schedules and the human-in-the-loop snapshot pause/resume mechanism. AACFlow does not offer guaranteed-once-only block execution, a failed-run holding queue for manual recovery, or a "replay a past execution with its original inputs" feature. The per-execution debugging snapshot serves as a log-detail artifact rather than a resumable mid-run checkpoint.
Microsoft Power Automate
(Quelle: Employ robust error handling - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes: configurable retry policies with exponential backoff on individual actions, flow run history that lets a user review a past run's inputs/outputs, and a documented Resubmit action from the Run history page that reprocesses a past run with its original inputs after an issue (e.g., a connection or parameter) has been fixed. Retry policies are set per-action with configurable interval/count and exponential backoff. Resubmit is available from the flow's Run history page (individually or in bulk, up to 20 runs at a time); flows initiated by instant/manual triggers can always be resubmitted by their owner, and admins can extend resubmission to other users via a tenant setting.
Fehlerbenachrichtigung
AACFlow
(Quelle: AACFlow Docs: AACFlow Workspace Events trigger, öffnet in neuem Tab)Yes: a sim_workspace_event trigger fires on run success/failure, deployments, and cost/latency spikes, wired to any notification block (Slack, email, webhook) for real-time alerting
Microsoft Power Automate
(Quelle: Understand flow failure notifications - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes: per-run failure alert emails for known fixable issues (with a 28-day cooldown per flow) plus a weekly failure digest email summarizing all flow failures across environments. Per-run alerts fire shortly after a failure is detected as a known/fixable issue; separately, a weekly digest covers all failures regardless of type.
Data Drains
AACFlow
(Quelle: AACFlow Docs: Data Drains, öffnet in neuem Tab)Yes: Enterprise orgs can continuously export workflow logs, job logs, or audit logs on a schedule to a customer-owned S3 bucket, GCS bucket, Azure Blob container, BigQuery table, Snowflake table, Datadog logs intake, or an HTTPS webhook. Each drain exports exactly one data source; multiple drains are created to export multiple sources. Viewing drain config/run history is restricted to org owners/admins.
Microsoft Power Automate
(Quelle: Connect Microsoft Power Platform to Microsoft Sentinel | Microsoft Learn, öffnet in neuem Tab)Yes: Power Platform supports continuous export of activity/audit logs to external destinations via the Microsoft Sentinel solution for Power Platform, built on Azure Monitor/Log Analytics with roughly a 60-minute ingestion delay, and more broadly, any log sink that accepts Azure Monitor/Log Analytics data. Audit logs are also searchable in the Microsoft Purview/Office 365 Security & Compliance Center.. This is achieved via the dedicated Microsoft Sentinel solution for Power Platform/Dynamics 365, not a generic user-configurable webhook/S3/BigQuery export built into Power Automate itself.
Asynchrone Ausführung
AACFlow
(Quelle: AACFlow codebase: async execution handler, öffnet in neuem Tab)Yes: a workflow can be triggered in fire-and-forget async mode, returning HTTP 202 with an execution ID immediately, then polled through the canonical execution resource across queued/running/terminal states. Async runs are tracked by execution ID through the same execution status endpoint used for durable logs rather than a separate queue-job resource.
Microsoft Power Automate
(Quelle: Use asynchronous responses - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes: Power Automate supports asynchronous execution. A flow can respond with an HTTP 202 status code plus a Location header pointing to a status-check URL, letting the caller poll for the result instead of blocking, and long-running actions can use an asynchronous polling pattern (or an Until loop) instead of a synchronous call.. Configured by enabling 'Asynchronous response' on a Response action; inbound HTTP-triggered flows still must return within 120 seconds, but actions after a response action, or separately started child flows, continue running in the background beyond that limit.
Ausführungslimits
AACFlow
5-50 min sync; async defaults to 90 min, Enterprise up to 7 days (Quelle: AACFlow Docs: Concurrent Executions, öffnet in neuem Tab)Plan-gated: synchronous runs time out at 5 minutes on accounts without a plan and 50 minutes on paid plans; async runs default to 90 minutes, while Enterprise policy can be configured up to 7 days; concurrency ranges from 10 to 1,000 executions per billing account depending on plan. A direct async API request can shorten the account policy for that request, but cannot extend it. Concurrency limits are published in the platform cost docs, where the Enterprise limit is 1,000 by default and customizable. A run that exceeds its time limit is terminated and marked failed with a timeout error.
Microsoft Power Automate
30-day max run, 120s HTTP timeout, 1-100 concurrency (Quelle: Limits of automated, scheduled, and instant flows - Power Automate | Microsoft Learn, öffnet in neuem Tab)A single flow run may last up to 30 days, after which pending steps like approvals time out. An outbound synchronous HTTP request times out at 120 seconds, while an outbound asynchronous request is configurable up to 30 days. An inbound HTTP-triggered flow must return a response within 120 seconds. Concurrent runs per flow are unlimited by default, or capped between 1 and 100 (default 25) if Concurrency Control is turned on, with a waiting-runs queue of 10 plus the configured degree of parallelism.. Additional caps: Power Platform requests are limited to 100,000 per 5 minutes and 10,000 to 10,000,000 per 24 hours depending on license tier; concurrent outbound calls are capped at 500 (Low tier) or 2,500 (other tiers); flows throttled for 14 consecutive days are automatically turned off.
Behandlung von Teilausfällen
AACFlow
(Quelle: AACFlow codebase: error-output edge routing, öffnet in neuem Tab)Yes: any block can be wired to a dedicated error-output edge, so a failing step routes execution down an error-handling branch instead of always halting the entire run
Microsoft Power Automate
(Quelle: Employ robust error handling - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes: Power Automate lets a single failing step be routed to an error-handling path while the rest of the run continues, via the 'Configure run after' setting on each action, which can be set to trigger on 'has failed', 'is skipped', or 'has timed out' in addition to the default 'is successful'.. This lets a designer branch to a notification, logging, or retry action after a failure and continue the flow, rather than having any single failure always halt the entire run; scopes are also commonly used to group a try/catch-style block.
Unbeaufsichtigte Ausführung
AACFlow
(Quelle: AACFlow codebase: trigger.dev background job backend, öffnet in neuem Tab)Yes: scheduled, webhook, and chat-triggered runs execute as background jobs on trigger.dev workers, entirely on AACFlow's servers. No client device needs to be open, awake, or connected for a run to fire or complete; closing the browser tab or shutting down a laptop has no effect on a scheduled or triggered workflow.
Microsoft Power Automate
(Quelle: Overview of cloud flows - Power Automate | Microsoft Learn, öffnet in neuem Tab)Yes for cloud flows: scheduled, connector-event, and webhook-triggered cloud flows run entirely on Microsoft's multi-tenant cloud service, with no dependency on any client device staying open, awake, or connected. Desktop flows (RPA) are the documented exception: unattended desktop flows still require a persistent Windows machine, either a customer-managed on-premises machine kept logged in, or a Microsoft-hosted unattended bot (the $215/bot/month tier) that removes the customer-managed-device requirement but is still a distinct, higher-cost execution mode from ordinary cloud flows.. Cloud flows are the default and most common Power Automate scenario; desktop flows only apply when automating legacy desktop/UI-based applications via RPA, and even the Microsoft-hosted unattended option runs on a machine instance rather than a lightweight, always-on cloud function.
Support
CompareAACFlow vs Microsoft Power Automate
AACFlow
Microsoft Power Automate
Support-Kanäle
AACFlow
Community support plus Enterprise 'Dedicated Support' (Quelle: AACFlow Pricing Page, öffnet in neuem Tab)Community plus an unquantified "Dedicated Support" flag on the Enterprise plan. Enterprise and pricing pages do not include CSM, onboarding/enablement, or professional-services details beyond a plan-comparison-table "Dedicated Support" flag.
Microsoft Power Automate
Docs, community forums, and paid Professional Direct/Unified Support plans (Quelle: Support for Microsoft Power Platform and Dynamics 365 apps - Power Platform | Microsoft Learn, öffnet in neuem Tab)Documentation via Microsoft Learn, the Power Platform Community forums, and paid Microsoft support plans (Professional Direct and Microsoft Unified Support) with severity-based initial response times, available on top of self-help resources in the Power Platform admin center.. Technical break-fix support and billing/subscription support are available at all support levels; advisory, escalation, and account-management services require a Professional Direct or Unified Support plan. Initial response times range from under 1 hour (Severity A, critical business impact) to under 8 hours (Severity C, minimum impact) depending on plan tier.
SLA
AACFlow
(Quelle: AACFlow Pricing Page, öffnet in neuem Tab)Yes: the Enterprise plan includes a "Dedicated Support" feature per the pricing plan-comparison table; no SLA terminology, response-time, or uptime figures are published on the enterprise or pricing pages
Microsoft Power Automate
No product-specific SLA foundNot publicly documented: Power Automate does not publish a product-specific SLA, though Microsoft publishes general Online Services SLAs. No Power Automate-specific uptime percentage exists; Microsoft's general Online Services SLA terms would apply.
Community
AACFlow
(Quelle: AACFlow Landing Page, öffnet in neuem Tab)No community size is published yet
Microsoft Power Automate
Active Power Platform community forum with structured category boards (Quelle: Power Automate forums - Microsoft Power Platform Community, öffnet in neuem Tab)Active, Microsoft-hosted Power Platform Community forums for Power Automate, organized into structured category boards (Building flows, Using flows, Using connectors, Power Automate Desktop, AI Builder, Power Automate Mobile App, General topics) with ongoing Q&A threads. The Power Automate forum area on community.powerplatform.com is split into dedicated boards for building flows, using connectors, using flows, desktop automation, and AI Builder, with active threads receiving dozens of replies.
Academy / Schulungen
AACFlow
(Quelle: AACFlow Docs: Academy, öffnet in neuem Tab)Yes: AACFlow Academy is a dedicated structured-learning section of the docs site, separate from reference documentation and the API reference
Microsoft Power Automate
(Quelle: Microsoft Certified: Power Platform Fundamentals - Certifications | Microsoft Learn, öffnet in neuem Tab)Yes: Microsoft Learn provides structured, self-paced training paths and official certifications for Power Automate and the broader Power Platform, including the Microsoft Certified: Power Platform Fundamentals (PL-900) and Power Platform Developer Associate certifications, plus dedicated Power Automate learning modules and instructor-led courses.. Delivered through Microsoft Learn's training paths and official Microsoft Certified credentials, a substantial structured-education program.
Herausragende Funktionen von AACFlow
AI Copilot / Chat agent-building surface (Quelle: AACFlow Docs: Copilot, öffnet in neuem Tab)
Chat builds and manages work across the workspace; in-editor Copilot edits a single workflow.
A workspace-wide natural-language surface (Chat) that can build workflows, manage data, and take actions across integrations, plus an in-editor Copilot scoped to building and editing a single workflow directly.Hybrid semantic + keyword knowledge base (Quelle: AACFlow codebase: KB schema + file-parsers, öffnet in neuem Tab)
Combines vector and full-text search with configurable chunking across 11 file formats.
Built-in RAG with pgvector embeddings and a generated tsvector column for combined vector + full-text search, plus a token-based chunker with configurable chunk size/overlap and 11 supported file formats (csv, doc, docx, html, json, md, pdf, pptx, txt, xlsx, yaml).Native MCP client and server (Quelle: AACFlow Docs: MCP Deployment, öffnet in neuem Tab)
Call external MCP servers as tools, or expose AACFlow workflows as an MCP server.
A dedicated MCP block lets any workflow call external MCP servers as a tool, and a serve/workflow-servers API surface lets AACFlow expose its own workflows as MCP servers.Fork a workspace into dev, qa, and prod environments (Quelle: AACFlow Docs: Workspace Forks, öffnet in neuem Tab)
Fork, diff, and promote environments with mandatory credential remapping.
Fork a whole workspace into a dev/qa/prod-style child environment, preview a diff, and promote changes bidirectionally. Credential and env-var remapping is required on every promote, so secrets never cross environments silently.Human-in-the-loop approvals with durable resume (Quelle: AACFlow Docs: Human in the Loop Block, öffnet in neuem Tab)
Pause a run for human approval and resume later via a durable snapshot link.
A dedicated block pauses a run and waits for a human-submitted approval form, backed by persisted execution snapshots so the run can resume later via a link, even after a server restart.Live multiplayer canvas editing (Quelle: AACFlow codebase: realtime presence handler, öffnet in neuem Tab)
Real-time cursors, selections, and synced edits on the same canvas.
Real-time cursors, selection broadcasting, and synced concurrent edits over a dedicated realtime backend, so a team can build the same workflow together at the same time.Dokumentierte Einschränkungen von Microsoft Power Automate
No live, concurrent multi-user editing in the flow designer (Quelle: Guide to cloud flow sharing and permissions | Microsoft Learn, öffnet in neuem Tab)
No true live co-editing in the flow designer, only owner-level sharing.
Power Automate's cloud flow designer supports sharing a flow with co-owners, but not live, concurrent multi-user editing with visible cursors and synced changes on the same flow. Microsoft's live coauthoring feature exists for Power Apps Studio canvas apps, a separate product, not the Power Automate flow designer.No dedicated built-in image/video/audio generation blocks (Quelle: AI Builder in Power Automate overview - Microsoft Learn, öffnet in neuem Tab)
Image and audio generation require calling an external connector.
AI Builder ships prebuilt models for document processing, prediction, image description (captioning), and GPT-based text/prompt generation, but no dedicated image-generation, video-generation, or text-to-speech/speech-to-text action exists in its catalog. Image and audio generation require calling external connectors like Azure OpenAI DALL-E or Azure AI Speech rather than a first-party AI Builder block.Solution-aware versioning/ALM features gated to Dataverse solutions (Quelle: Drafts and versioning for solution-aware cloud flows - Power Automate | Microsoft Learn, öffnet in neuem Tab)
Version history and environment promotion only work inside a Dataverse solution.
Version history, environment promotion via pipelines, and environment variables only apply to 'solution-aware' cloud flows inside a Dataverse solution. Flows created outside a solution (a common default for individual makers) lack this ALM tooling.Pricing is per-user/per-bot with a steep jump to unattended RPA (Quelle: Power Automate pricing page, öffnet in neuem Tab)
Unattended RPA jumps to $150-$215 per bot/month, well above the base plan.
Premium (per-user cloud/attended RPA) is $15/user/month, but unattended desktop RPA (Process plan) jumps to $150/bot/month, and Microsoft-hosted unattended bots cost $215/bot/month, a much higher cost tier for any fully automated scenario with no human at the desktop.Fazit
Choose AACFlow if you want an AI workspace that treats AI agents as first-class citizens: native multi-LLM support, real-time multiplayer editing, environment promotion (dev/qa/prod), human-in-the-loop approvals, and enterprise governance (SSO, credential-level permissions, audit logs) built in rather than bolted on.
Choose Microsoft Power Automate if you specifically need native Microsoft 365/Dataverse RPA + cloud flow combination: Power Automate combines attended/unattended desktop RPA (legacy app automation) with cloud connector flows and Dataverse-grounded agents in one licensed product family, automating a legacy desktop app and a modern SaaS API on the same platform.
Weiterführende Lektüre
Häufig gestellte Fragen
AACFlow is an AI workspace where teams build, deploy, and manage AI agents visually, conversationally, or with code. Microsoft Power Automate is a low-code cloud automation service in the Power Platform. It builds cloud flows (connector-based triggers/actions), desktop flows (RPA), and AI-assisted/agentic workflows using 1,400+ connectors and Copilot/AI Builder. Teams considering a switch typically weigh pricing model, and how AI-native the platform's agent-building experience is.
