Deploying GenAI Agents in High-Risk Environments
AI Security
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.
Time & Place
Wed, March 25
15:00 - 15:30
The Ritz-Carlton Berlin
Salon Tiergarten
Classroom Seating
Max. Capacity: 32 Seats
Meet Your Intructors

Amit Segev
CTO & Co-Founder, Avon AI
Amit Segev is the CTO at Avon AI, where he focuses on the deployment of AI agents in enterprise environments, with particular emphasis on regulated industries. His work is centered on helping organizations move from experimentation to production by building a management platform for AI agents. It helps organizations to build agentic systems that are robust, governable, and aligned with compliance, risk, and operational requirements. Amit’s perspective is shaped by hands-on work at the intersection of product, deployment, and organizational adoption. He previously led the development of Ella, a customer-facing GenAI agent in a digital bank, experience that continues to inform his approach to trust, oversight, and responsible deployment at scale.
What To Expect
Who Is This For?
Enterprise AI leaders
CX & automation teams
Risk & compliance professionals
Product & platform owners
Technical decision-makers
Pre-Requisites
No Prerequisits
What You'll Learn & Do?
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
Agenda & Activities
Agenda for this session
20 min presentation + Audience Q&A
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