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How the Microsoft automation and AI ecosystem fits together

Power Platform covers many business application and automation needs. Microsoft Foundry becomes relevant when developers need deeper model, agent, evaluation, deployment, and operational control.

Business data → Apps and workflows → Copilots and agents → Developer AI operations

01
Data

Dataverse

Shared business and application data with permissions and platform semantics.

02
Experience

Power Apps

Business application interfaces and custom operational applications.

03
Workflow

Power Automate

Cloud workflows, desktop automation, approvals, connectors, and business process automation.

04
Agent experience

Copilot Studio

Low-code creation of copilots, agents, conversational experiences, and agentic workflows.

05
Developer AI platform

Microsoft Foundry

Models, agents, tools, evaluations, tracing, deployment, and enterprise AI operations for custom applications.

How to choose within this ecosystem

  • When Power Automate is enough

    Choose it for known business flows, approvals, connectors, desktop steps, and reliable rule-based automation.

  • When Copilot Studio fits

    Use it when a low-code conversational or agent experience must access approved knowledge and actions while staying close to Microsoft business systems.

  • When Foundry becomes necessary

    Move deeper when developers need custom code, broader model choice, managed agent endpoints, systematic evaluation, tracing, security, and application operations.

  • Learn first

    Start with Dataverse concepts and one Power Automate flow. Add Copilot Studio only for a clear interaction need; learn Foundry after models, APIs, tools, and evaluation make sense.

Last reviewed 2026-07-16