Teaching AI How Your Business Runs: Microsoft's Next Step for Agents
Complimentary refreshments and a networking reception will be served!
By now, most of your people have used AI to draft an email, summarize a meeting, or clean up a deck.
That's AI helping people work. It's not AI doing the work.
The next step is agents: systems that run a process end to end, handle the exceptions, and escalate when they should. But an agent needs something no single team owns. Operations leaders know the rules and the exceptions. Technology leaders own the data and the controls.
This session brings both sides into the same room for an early look at the newest Microsoft capabilities built to bridge exactly this gap, and at what it takes to put agents to work before your competitors do.
In This Session:
✅ What changes when AI moves from assisting to executing: which processes make good first candidates, how ownership splits between the business and IT, and where governance comes in
✅ How an agent runs a process end to end, including what happens when it hits an exception and hands off to a person
✅ Copilot Studio and Microsoft Foundry, the two main ways Microsoft supports building agents, and what usually decides between them
✅ An early look at Fabric IQ, Microsoft's new layer for capturing what your business terms actually mean, so agents follow your rules instead of guessing at them
You'll walk away knowing where agents could take real work off your teams' plates, what the newest Microsoft capabilities make possible today, and what it would take to get a first agent into production. That's enough to lead the conversation in your organization instead of waiting for it.
Perfect For:
Leaders who are being asked what comes after AI assistants, on both sides of the table:
Business teams that own high-volume, rules-heavy processes: operations, finance, customer service, and procurement
Technology teams that would make those agents work: IT, data and analytics, and AI
Risk and compliance teams that sign off on how agents act
This is a conversation for decision-makers, not a hands-on build session.
Our Speakers
Lakshmi (Lucky) Chandra, Director of Solutions, Celestial Systems
As a Director of Solutions who's helped organizations navigate the complete AI journey from strategy to production deployment, Lucky brings battle-tested insights from successful enterprise implementations across multiple sectors.
Lucky specializes in bridging the gap between AI potential and AI performance, helping organizations move beyond proof-of-concepts to systems that deliver measurable ROI. His expertise lies in identifying the critical success factors that separate AI projects that thrive from those that fail.