Solutions

Copilot Studio

Build AI agents that work inside your business processes.

What Copilot Studio does

Copilot Studio agents go beyond scripted chatbots. They use generative AI to understand natural language, pull answers from your knowledge bases, and take action through connectors and Power Automate flows.

HR, IT, and facilities agents that answer questions and route requests without human intervention.

Triage and resolution agents that handle common inquiries and escalate complex cases to live agents.

Agents that search across SharePoint, Dataverse, and file shares to find answers from your existing content.

Conversational interfaces for field workers and frontline staff to capture data accurately.

Where organizations get stuck

No lifecycle management

Teams build agents in production because there is no dev/test environment strategy. One bad publish takes down a live agent with no rollback path.

No governance

Agents access sensitive data through connectors. Without DLP policies and connector governance, an agent built by a well-meaning team can expose data it should never touch.

Poor knowledge grounding

Agents return generic or incorrect answers because the knowledge sources are unstructured, duplicated, or stale. The AI is only as good as the data it reads.

No integration architecture

Agents work in isolation. They do not connect to the line-of-business systems, approval workflows, or case management processes where they would deliver the most value.

How we approach Copilot Studio projects

1

Agent Strategy and Design

We identify the highest-value use cases, map conversation flows, define escalation paths, and determine which data sources the agent needs. We scope what the agent will and will not do before building anything.

2

Environment and ALM Setup

Agents deploy through the same CI/CD pipelines as every other Power Platform solution. Dev, test, production. Source control. Approval gates. Rollback procedures.

3

Knowledge Architecture

We structure and curate the knowledge sources the agent draws from. Organized SharePoint libraries, clean Dataverse tables, and scoped generative answers.

4

 Integration and Automation

We connect agents to backend systems through Power Automate flows, custom connectors, and Dataverse. The agent triggers actions, creates records, and moves work forward.

5

Testing and Deployment

We test agents across conversation paths, edge cases, and failure scenarios before promoting to production. Post-launch, we monitor analytics and tune responses.

What you get

  • Deployed Copilot Studio agents
  • Documented conversation flows
  • Escalation path documentation
  • Knowledge source architecture
  • CI/CD pipelines for agent lifecycle
  • Agent governance policy
  • Connector and DLP configuration
  • Analytics dashboards
  • Recorded knowledge transfer sessions

Related

Start with an assessment

Our Power Platform Assessment evaluates your current environment, identifies high-value agent opportunities, and gives you a prioritized implementation roadmap.