Abstract
In this masterclass, we will explore the real challenges organizations face when deploying AI agents into production within regulated and high-risk industries, and how successful teams overcome them. The session focuses on conversational AI agents in domains such as banking, healthcare, fintech, and insurance - where trust, compliance, and operational control are critical. We will examine why many GenAI initiatives stall before reaching production, what typically breaks once agents begin interacting with real customers, and how organizations can regain visibility and confidence in agent behavior. The masterclass presents a practical perspective on treating AI agents as a managed workforce, covering oversight, feedback loops, training, and performance management as essential building blocks for safe, scalable deployment in production environments.
Topics To Be Covered
Why AI agents fail in production
Managing AI agents as workforce
Designing oversight and control mechanisms
Building trust in regulated environments
Scaling agentic systems safely
Who Is This For?
Enterprise AI leaders
CX & automation teams
Risk & compliance professionals
Product & platform owners
Technical decision-makers
Meet Your Speaker
Chen Markman

CEO, Avon AI
Chen Markman is the co-founder and CEO of Avon AI, a platform that helps organizations safely deploy, monitor, and govern generative AI agents in production, with a strong focus on regulated and sensitive industries. He brings 18 years of experience leading R&D, AI, and ML organizations, including extensive hands-on work deploying AI systems in highly regulated environments. Chen previously held senior roles at Pagaya and Dream Security, is an alumnus of the Talpiot program, and holds a bachelor’s degree in physics and mathematics, along with two master’s degrees, one in economics and one in electrical engineering.
ADDITIONAL INFORMATION
Time & Place
Wed, March 25
14:45 - 15:30
Salon Tiergarten
Classroom Seating
Max. Capacity: 32 Seats
Secure your seat – registration required.
Notes
Agenda for this session
20 min presentation + Audience Q&A

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