Managing AI Agents Like People: Autonomy, Feedback, and Trust
Abstract
This talk explores why AI agents create a leadership challenge, not just a tooling challenge. Ugo will show how familiar management disciplines – clear outcomes, scoped autonomy, feedback loops, guardrails, review, and accountability – apply when agents become part of the SDLC. The session gives engineering and quality leaders a practical way to adopt AI agents without losing judgement, quality, or ownership.
Key Takeaways
About Speaker
“Ugo Anomelechi is VP Engineering at Chattermill, where he leads engineering teams building AI-powered customer feedback analytics for enterprise organisations. He has 20+ years’ experience across software engineering, platform architecture, and engineering leadership, with a focus on scalable systems, developer experience, and responsible AI adoption. Ugo has spoken at LeadDev LDX3 London on engineering leadership and brings a practical perspective shaped by both technology leadership and his background as a former international sprinter.”