Unlike traditional software, AI agents don't always behave the same way twice. That makes reliability, security, and governance harder to retrofit. They need to be designed in from the start, covering everything from data boundaries and access controls to what happens when an agent hits an edge case.
This workshop makes sure those decisions get made before you build, not after.
Identify the right AI agent use case and governance needs
Build and validate a Copilot Studio prototype
Establish security, reliability, and operational guardrails early
Leave with a documented architecture and scaling roadmap
A governed environment with DLP policies, license optimization, and orphaned solution management
A structured innovation funnel so business ideas get prioritized and built - not lost
Citizen developer guidance and Tier 3 support when things need escalating
Regular COE reporting so you always know how your environment is performing
Talk to us about your environment, your use case, and what good looks like for your organization.