We’ll review your Copilot Studio environment, checking for gaps in security, compliance, and operational readiness — so you know where you stand before scaling.
We’ll help you define clear roles, permissions, and lifecycle rules for your Copilots — including who can build, approve, and retire agents.
Get the right guardrails in place. That includes data loss prevention (DLP), responsible AI guidelines, and audit logging that works with your existing controls.
Pre-built lunch-and-learn sessions, prompt patterns, and role-based use-case IP your trainers run — kept current by us, plus office hours and coaching for the program owner.
Need to go bigger? We can extend this work into a wider Power Platform governance engagement if you’re managing more than just Copilot Studio.
A governance framework tailored to your organization’s Copilot Studio usage
Clear policies for data handling, permissions, and risk mitigation
Defined roles, responsibilities, and guardrails for secure agent deployment
A playbook for ongoing monitoring, compliance, and lifecycle management
Practical next steps to align with broader Power Platform governance (if needed)
It’s not just about building agents, it’s about building them right.
In this short demo, you’ll see how Model Context Protocol (MCP) Servers act as the control center for your Copilot Studio agents — bringing structure, logic, and compliance to every interaction.
Michael walks through:
