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Microsoft Copilot Studio

Microsoft's low-code platform for designing, deploying, and managing AI agents and copilots across the Microsoft 365, Azure, and Power Platform ecosystem.

Producer:MicrosoftManaged Cloud · ServerlessISO/IEC 27001 · ISO/IEC 27018 · SOC 2 Type IIReleased:Nov 15, 2023
Regional availability
  • United States
  • Europe
  • United Kingdom
  • Asia Pacific
  • Australia
  • Canada
  • Japan
  • India
  • Brazil
  • Microsoft Cloud for Sovereignty
Data residencySovereign cloud
Visit platformDocumentation
Microsoft Copilot Studio
Supported models
16SLM/LLM
SDK / Languages
3javascript, typesc…
Uptime SLA
99.9%
Robotics-Ready
✓

Description

Microsoft Copilot Studio is a graphical, low-code environment for building AI agents and extending Microsoft 365 Copilot with custom skills. It combines a conversation designer with an LLM-based orchestration engine while preserving enterprise controls — Microsoft Entra ID permissions, Microsoft Purview auditing, and native integration with Microsoft 365, Dynamics 365, and Power Platform.

Agents built in Copilot Studio can invoke 1,500+ Power Platform connectors, ground answers in Microsoft Graph, SharePoint, and Dataverse, and delegate reasoning to models served through Azure AI Foundry (GPT, Claude, Llama, and others). They can be deployed to Microsoft Teams, web, Microsoft 365 Copilot Chat, and partner applications.

MLOps LifecycleMLOps LifecycleFull model lifecycle: registry, feature store, prompt management, monitoring and human-in-the-loop.

5/10 supported

Prompt Management

Prompt registry — central prompt repository
Versioning — prompt versioning and history
Testing frameworks — A/B testing and prompt evaluation
3 / 3 supported · none unsupported

Monitoring

Data drift detection — input data drift detection
Concept drift detection — concept drift detection
Hallucination monitoring — LLM hallucination monitoring
Bias evaluation tools — bias evaluation tooling
1 / 4 supported · 3 unsupported hidden

Human-in-the-Loop

Labeling services — data labeling tools
RLHF workflows — reinforcement learning from human feedback
Manual override — manual override of model decisions
1 / 3 supported · 2 unsupported hidden

Data & KnowledgeData & Knowledge ManagementData connectors, vector database integration, native vector search and data management (PII, provenance, synthetic data).

ApplicationsAI ApplicationsDomains and use cases this platform is best suited for — from RAG and fine-tuning to scientific research.

10

SecurityEnterprise SecurityCertifications, access controls and data-protection features essential for corporate deployments and cloud privacy compliance.

Developer EcosystemDeveloper EcosystemDeveloper resources: available SDKs, supported programming languages, and infrastructure features and model-deployment methods.

SDK Languages
JSJavaScriptTSTypeScriptPyPython
API Type
REST
Community & resources
Templates library
Quickstarts
API Reference
Tutorials
$

Pricing & Business ModelPricing & Business ModelBilling models (usage-based, provisioned throughput), resource limits and SLA parameters (uptime, support tiers).

See full pricing

Pricing models

Usage-based
Tiered subscription

Resource quotas

Per project
Per user
Cost alerting

SLA & Support

99.9%uptime SLA
StandardEnterprise 24/7

Supported AI Models

16

SourcesDocumentation VaultCentralized hub of links to official sources, technical guides, repositories and release notes.