Session
From Generic Prompts to Personalized Playbooks: Building the One Size Fits All Adoption Agent
So many Copilot rollouts hit the same wall: you run the intro trainings, hand people a prompt library, and hope something sticks. You can tip those odds massively in your favor though, simply by ensuring every single member of your organization has an entirely custom playbook written just for them.
Users need to see what Copilot can do for their work, in their language, right now. In this session, I'll build a declarative Agent in Agent Builder that solves this at scale. By grounding it in Microsoft Graph - emails, chats, and documents - a single agent can brainstorm personalized Copilot use cases for every user in your org without a single change between deployments. You'll see how to configure knowledge sources, design a system prompt that acts like a creative coach instead of a search engine, and ship it so any champion or change manager can put it in front of their people tomorrow. One agent. One deploy. Thousands of personalized playbooks.
Three key take-aways:
How to build a single declarative Agent in Agent Builder that uses Microsoft Graph-grounded knowledge to generate Copilot use case recommendations tailored to each individual user's actual workâno per-user configuration required.
System prompt design patterns that turn an agent from an answer bot into a creative brainstorming coach, surfacing possibilities users wouldn't think to ask for.
A deployment playbook for getting this agent into the hands of every employee in your org so adoption becomes personal, not generic.
This session includes a live build in Agent Builder and can flex between 30 and 60 minutes. I'm currently leading enterprise Copilot adoption across 10,000 users and can tailor the demo depth to your audience's technical level. Happy to coordinate on format.
Chris Landtiser
Head of GenAI Adoption Strategy
Portland, Oregon, United States
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