Only 37% of organizations have a comprehensive AI data security strategy.
That means most are rolling out Copilot Studio without the policies, controls, or visibility needed to manage risk at scale.
This workshop is designed for security, compliance, and infrastructure leaders responsible for protecting the enterprise as AI capabilities expand.
We’ll assess your current Microsoft Copilot Studio environment, map risks, and help you define a governance framework that supports innovation without compromising control.
Governance Assessment
We’ll review your Copilot Studio environment, checking for gaps in security, compliance, and operational readiness — so you know where you stand before scaling.
Policy Framework
We’ll help you define clear roles, permissions, and lifecycle rules for your Copilots — including who can build, approve, and retire agents.
Compliance & Risk Controls
Get the right guardrails in place. That includes data loss prevention (DLP), responsible AI guidelines, and audit logging that works with your existing controls.
Operational Playbook
We’ll give you a practical blueprint for how to monitor, version, and improve your agents over time — so your governance doesn't break down post-launch.
Optional: Broader Power Platform Governance
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.
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: