AI in Finance: Safe Autonomy for Agentic Commerce
This event is about Safety, Compliance & Agentic Commerce in Financial Systems - on how autonomous AI systems can safely reason, act, and transact in regulated markets.
This event is restricted - registration and approval are both required. The event capacity is 300. Please apply to be on the waitlist and we'll review and approve as frequently as we can.
Introduction:
AI systems are no longer just generating insights — they are beginning to act.
From approving payments to negotiating contracts and executing transactions, agentic commerce introduces a new class of risk, accountability, and regulatory scrutiny — especially in financial services.
This discussion brings together leaders from regulatory agencies, global consultancies, AI infrastructure companies, and fintech innovators to explore how AI systems that act autonomously can be deployed safely, compliantly, and at scale.
Rather than theoretical policy debates, the panel will focus on real-world system design:
Constraining autonomous agents in transactional workflows
Ensuring every AI-driven action is explainable and auditable
How regulators are already interpreting agentic systems under existing law
Architecture decisions that determine whether AI systems survive future regulation
If you are building AI systems that initiate, approve, or execute financial actions, this conversation is for you.
Agenda
5:30 – 5:40 PM | Arrival & Check-In
Curated, invite-only check-in
Audience filtering to ensure enterprise/infra focus
5:40 – 5:45 PM | Welcome & Context
Moderator: Erika Bahr, Founder & CEO, Daxe
Why AI safety is now an infrastructure problem
What “future-proof” means as agents begin to act and transact
Why regulation, security, and architecture must co-evolve
5:45 – 6:30 PM | Panel Discussion
Theme: Building AI Systems That Can Safely Act, Transact, and Comply in Regulated Markets
Discussion pillars:
Agent safety and guardrails in production systems
Agentic commerce: autonomous approvals, payments, and transactions
Data provenance, traceability, and auditability for AI actions
Regulatory expectations for autonomous decision-making
Architecture patterns that survive future regulation
Panelists:
Christina Tetreault, CA Department of Financial Protection & Innovation (Confirmed)
Beena Ammanath, Global Deloitte AI Institute Leader (Confirmed)
Philip Rathle, CTO, Neo4j (Confirmed)
Janak Sevak, Member of Technical Staff from Anthropic. (Confirmed)
6:30 – 6:40 PM | Audience Q&A
Moderated questions
Priority to enterprise operators and infrastructure builders
6:40 – 7:00 PM | High-Signal Networking
Speakers + senior attendees
No open sales pitching
Who Should Attend
AI infrastructure & platform engineers
GenAI Engineers, Agent Builders, ML/AI Ops
Security, risk, and compliance leaders
Fintech, payments, and commerce platform architects
Enterprise product leaders deploying autonomous workflows
Hosted by Deloitte, Daxe, and MLOps Community