Managing a Team of People and AI Agents
The AI: ROI Conference
Eventually, teams will have 10 AI agents for every person. So today’s challenge for leaders is not just building the agents, but preparing to manage a blended team of humans and machines.
Michael Domanic
Head of AI, Section
Raghu Malpani
Chief Technology and Product Officer, UiPath
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The org chart of the AI era
UiPath’s Raghi Malpani is joining Section’s Head of AI, Michael Domanic, on July 16 from 12-1 pm ET to talk about how to do this well – and safely. They’ll cover questions like:
- What work belongs with humans, what belongs with agents, and where does orchestration matter most?
- What does good governance look like when AI agents are operating across teams and workflows?
- What does collaboration look like when coworkers are AI rather than people?
- What changes when leaders are responsible not just for people, but for a growing portfolio of AI agents?
- How can companies scale AI agents in a way that supports employees rather than overwhelming them?
- How are you tracking the value created by your AI agents?
They’re taking your questions too. So RSVP for free and bring your people managers.
Meet your speakers
Michael Domanic
Head of AI, Section
Michael Domanic leads AI transformation at Section, overseeing generative AI strategy and governance. Previously the Head of AI at UserTesting, he has driven adoption programs that scaled AI tools to widespread weekly use and enabled employees to build hundreds of custom GPTs for internal workflows. He also partners with product leadership on AI-forward roadmap and customer-facing applications.
Raghu Malpani
Chief Technology and Product Officer, UiPath
Raghu Malpani is UiPath’s Chief Technology and Product Officer, leading engineering, product, AI, and security. He previously spent 15 years at Microsoft, where he worked on Azure, Microsoft 365, Exchange, Microsoft Graph, and Copilot-related platform work, and also held senior leadership roles at Meta. His background centers on building large-scale cloud and data systems, with a strong focus on AI, automation, and enterprise transformation.
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