Microsoft Copilot Studio

AI agents with Copilot Studio

We design agents connected to Teams, Microsoft 365 and business systems, with permissions, traceability and human control.

Knowledge
approved sources and context
Action
tools with clear boundaries
Governance
identity, evidence and review
Team supervising AI agents connected to business operations
A useful agent works inside the operation.It knows, proposes, acts and understands when a person must take over.

The answer is only the beginning.

An enterprise agent needs a defined job, controlled access to knowledge and a safe way to perform work. We design all four layers as one system.

  1. 01

    Role

    What it resolves, for whom and when it must stop.

  2. 02

    Knowledge

    SharePoint, Dataverse, documentation, databases and validated sources.

  3. 03

    Actions

    Power Automate, connectors, APIs or MCP to retrieve and update systems.

  4. 04

    Control

    Identity, permissions, traces, tests and human approval when it matters.

Each agent owns a clear responsibility.

Operations

Resolve incidents with context.

Review procedures, system status and previous cases before recommending the next action.

Internal service

Answer and execute.

Handle questions for people, finance or procurement and create requests when an answer requires action.

Knowledge

Find evidence, not documents.

Combine approved information, cite its source and adapt the answer to the user's identity.

Approvals

Prepare a human decision.

Collect data, flag gaps and deliver a complete case without replacing accountable review.

Team reviewing the scope and governance of an enterprise agent

Capability without control does not reach production.

We define what each agent can know and do, how it inherits identity, where it records evidence and who owns its evolution.

  • Inventory of sources, tools and owners.
  • Testing for responses, permissions and sensitive actions.
  • Human escalation for ambiguity, risk or low confidence.
  • Observability across usage, errors, cost and operational outcome.
Explore agent governance in AI Ops

Copilot Studio does not work alone.

We combine the conversational experience with automation, data and connectivity around the agent's real work.

What to know before building an agent.

Speak to an expert
What can an AI agent built with Copilot Studio do?

It can answer from approved knowledge, retrieve business data and perform actions across Microsoft 365, Dynamics, Power Platform, APIs and other systems.

How are agent permissions controlled?

The agent respects user identity, restricts sources and actions by permission and records operations for review.

Can it connect to external systems?

Yes. We use connectors, Power Automate, APIs and MCP according to the architecture and required level of control.

How do you prevent incorrect actions?

We define boundaries, tests, thresholds, approvals and human escalation. Sensitive actions require explicit controls.

What work should your first agent own?

In a diagnostic session we will review users, knowledge, actions, risks and the first operational outcome.