Independently verified against live vendor data on Sep 20, 2026.
Transparency
Partial
Contract
Monthly or Annual
Data training
Not Trained
Human in loop
Optional
Capabilities
workflow-builderno-codeautonomousmicrosoft-teamsmulti-agentcitationscontent-creation
Pros & Limitations
Editorial assessmentPros
- ✓Zero-rated internal usage for Microsoft 365 Copilot customers: licensed users build and use internal agents in Microsoft 365 at no additional cost, and classic answers, generative answers, and Microsoft Graph grounding for those users do not consume Copilot Credits.
- ✓Three harnesses cover scripted to autonomous work: the GitHub Copilot harness plans multistep business processes, retries failed steps, and creates Word, Excel, PowerPoint, and PDF files, while the standard harness keeps rule-based agents predictable. Agents reach 1,400+ connectors, MCP servers, and other agents over A2A, on a primary model of the maker's choice including Claude Sonnet 5 and GPT-5.5 Chat.
- ✓Governance inside the Microsoft stack: every new agent receives its own Microsoft Entra Agent ID, and Agent 365 adds a tenant-wide agent registry with access control and monitoring. Copilot Studio is in scope for Microsoft's SOC 2, ISO 27001, and ISO 42001 attestations and available in the US Government Community Cloud (GCC).
Limitations
- –Pricing takes modeling: credits come as $200 monthly capacity packs, pay-as-you-go at $0.01 each, one-year prepaid commit units, or inside Microsoft 365 Copilot and E7, and each action's credit cost varies with agent type, knowledge sources, and task complexity.
- –External and autonomous agents need a standalone purchase: the zero-rated Microsoft 365 Copilot path covers internal agents only. Publishing to websites, apps, or social channels, serving unlicensed users, or using the GitHub Copilot harness means buying capacity packs, pay-as-you-go, or prepaid credits.
- –The GitHub Copilot harness bills from the first build step: unlike the standard harness, which starts charging after publish, it consumes Copilot Credits while an agent is created, previewed, tested, and evaluated. Capacity is enforced monthly, unused credits do not roll over, and overuse can lead to service denial.
- –Agents built on older platform-managed service principals, before automatic Entra Agent ID assignment began in March 2026, cannot be migrated in place: bringing them under Agent ID governance requires recreating each agent.
Technical Details
Deployment
cloudweb
Model architectureMaker-selected primary model per agent from multiple providers: OpenAI GPT models including GPT-5.5 Chat and Anthropic Claude models including Claude Sonnet 5, both generally available, with Mistral Medium 3.5 and xAI models offered as experimental options. Agents run on one of three Microsoft harnesses: GitHub Copilot, standard, or Copilot chat.
Avg setup time1 month median implementation time, per G2's Time to Implement across 155 verified reviews. Amgen's own Microsoft case study reports building its first agent in 6 weeks.
Autonomous rateBuilds two agent types: conversational (responds to natural language with workflow guidance) and autonomous (plans, learns, executes, escalates work items independently); supports multi-agent orchestration where specialized agents collaborate on complex processes
MCPClient
Integrations
Microsoft 365Microsoft TeamsSharePointMicrosoft GraphPower PlatformAzureAzure AI SearchEntra IDAgent 365MCP serversDataverseWindows 365 for Agents1400+ external connectorsWebsitesMobile appsSocial platformsVoice/phone channels
Security
SOC 2 Type IIISO 27001ISO 42001GDPRCCPA
Similar agents
Industries
FinanceHealthcareConsulting
Built for
B2BEnterpriseMid-marketSMB
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