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BuilderPaid · Instructor-led

Building AI Agents with Copilot Studio

Design, ship and govern enterprise-grade agents with Copilot Studio, Dataverse, MCP and the agent ALM stack.

2 days (16 hours)8 modulesPower Platform makers, solution architects, Copilot Studio admins, Dynamics 365 functional leads, Microsoft 365 architects and CoE managers who are accountable for the agents being built across their tenant. Equally relevant for citizen developers stepping up to production responsibilities and for ISVs building agents on top of Copilot Studio for customers.Track: Builder
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How Gennoor supports this practice

AI Enablement for Building AI Agents with Copilot Studio

Gennoor Tech AI Enablement turns Copilot Studio licences into shipped agents that pass enterprise security, ALM and audit gates. We bring reference architectures for Dataverse-grounded, MCP-connected, autonomous agents, plus the Power Platform CoE patterns that keep your estate sane as agents multiply. Our delivery is hands-on inside your tenant — no demo orgs, no slideware.

Phase 1

Diagnose

Audit your tenant: existing environments, DLP, identity, data residency, the agent backlog and the maker community; surface the top three risks and quick-win agents.

Phase 2

Train

Run this 2-day course for makers and admins, then certify a lead architect and a CoE owner on the governance-and-ALM workflow.

Phase 3

Innovate

Co-design two to three flagship agents with their data owners, prototype them in a dev environment, validate against real business KPIs.

Phase 4

Build

Ship the flagship agents through Dev → Test → Prod with Dataverse grounding, MCP tools, custom connectors, monitoring and a support runbook.

Phase 5

Sustain

Stand up the Copilot Studio CoE: governance cadence, agent inventory, monthly health review, maker upskilling pipeline and the eval-and-incident playbook.

Book a call about Building AI Agents with Copilot Studio

30-minute working session with our team. Bring your current state, your constraints and the outcome you need — we'll come back with the right phase to start and a realistic delivery shape.