Events
ETH AI Center, AT X11, Andreasstrasse 5, 8092 Zürich
Agentic AI in Production. Where is your Evidence?
Focused on real-world banking deployments, the session shows how regulatory principles translate into deep technical controls and verifiable evidence on agentic AI and LLM safety, performance, and supervisory readiness.
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Date
March 18, 2026, 17:00h
Location
ETH AI Center, AT X11, Andreasstrasse 5, 8092 Zürich
Event Description
Agentic AI is moving into production in financial services, accelerating the need for AI governance that goes beyond principles and static checklists.
This event focuses on evidence-based agentic AI governance, showing how regulatory expectations can be translated into deep technical controls, delivering verifiable evidence on agentic AI performance and safety.
At the core of the session is an exclusive deep dive into the first FINMA-aligned technical blueprint, a practical reference for turning regulatory principles into measurable, decision-ready technical controls, relevant for both Swiss and international banks.
The discussion brings together perspectives from the Swiss Financial Market Supervisory Authority (FINMA), (a Swiss bank), Accenture, Unique, and LatticeFlow AI, covering regulatory expectations, real-world deployments, and technical assessments that deliver verifiable evidence for approval, oversight, and supervisory confidence.
Join the Event to Learn
How to make agentic AI governance operational by turning regulatory principles into concrete, auditable technical controls.
How to leverage the first FINMA-aligned technical blueprint as a reference to meet supervisory expectations through technical assessments.
How to get verifiable evidence on agentic AI performance and safety to support approval, continuous oversight, and supervisory confidence.
This Event is Highly Relevant For
This event is designed for decision-makers responsible for governing, approving, and overseeing AI systems in financial services, including:
Chief Risk Officers (CROs) and Model Risk Management leaders responsible for AI approval, validation, and ongoing oversight.
Chief Data or Chief AI Officers, Heads of AI, and AI Platform leaders deploying agentic AI systems in production.
Technology and Architecture leaders accountable for embedding governance into AI systems and workflows.
Compliance and Regulatory Affairs leaders translating supervisory expectations into enforceable controls.
Audit, Assurance, and Professional Services leaders supporting banks on AI risk, governance, and regulatory readiness.
Fill the form and claim your seat
Fill this form if you would like to attend in person or receive the replay of the session once it's ready.