AI Meetup (NYC): Agentic AI in Finance

About this event

AI agents demo well. Running them in financial services is another story. Join leaders from leading financial institutions, hosted by Diagrid, for candid talks on taking agents from prototype to production, where reliability, security, and regulatory requirements can't be afterthoughts.
What you will learn:
Learn how leading financial services teams make AI agents reliable and secure for production by pairing durable execution (workflows that survive crashes, retries, and restarts without losing state) with verifiable execution (tamper-proof agent history and cryptographic attestation).
Who Should Attend:

• Software architects and engineering leaders at banks, insurers, payments, and fintechs.
• Platform, security, and cyber teams evaluating how to safely deploy AI agents.
• AI/ML and backend engineers building agentic workflows and MCP-based tools.
• Developers at traditional financial services institutions, digitals-natives and fintech startups who want production-grade agent infrastructure fast.
• Anyone responsible for compliance, audit, or risk on AI-driven systems.

Agenda:
* 5:30pm~6:00pm: Checkin, Food and networking
* 6:00pm~6:10pm: Welcome/community update
* 6:10pm~8:30pm: Tech talks
* 8:30pm: Q&A, Open discussion

Tech Talk: Prototype is Easy. Production is Hard. Architecture and Tools to Bridge the Gap
Speaker: Sean Baseman, Chief Architect, FICO
Abstract: The gap between a prototype that demos beautifully and an agentic system you can run inside a regulated financial environment is enormous; and most of that distance is architecture and tooling. Drawing on FICO's NextGen initiative and years of running Diagrid’s Dapr in production, Sean walks through the decisions that separate weekend prototypes from systems trusted with real decisions:
- How to structure traditional and agentic workflows
- Where determinism belongs versus where you actually need an agent
- How durable execution keeps long-running processes alive through failure
- How to architect a scalable and secure agent framework you can depend on

Tech Talk: Tamper-Proof Attestation for Mission Critical Agents
Speaker: AI Executive at “Big Four”
Abstract: When an AI agent moves money, touches customer data, or feeds a decision that a regulator can question, "trust me, it worked" isn't an answer. Autonomous systems in financial services need to prove what they did, when, and why — with evidence that can't be quietly rewritten after the fact. Drawing on his experience leading architecture and AI at one of the “Big Four”, our executive explores what it takes to make agent behavior verifiable in environments where audit and compliance are non-negotiable:
- Why traditional logging falls short for autonomous\, non-deterministic systems
- How tamper-proof agent history and cryptographic attestation create a verifiable record of every decision and action
- Where attestation fits in the agent architecture — without killing performance or developer velocity
- What auditors\, risk teams\, and regulators will actually ask for when agents reach production

Tech Talk: Growth by Acquisition, Integration by Design
Speaker: Adam Hirst, Architect, StoneX
Abstract: Every acquisition arrives with its own queues, schedulers, and idea of where state lives — and that integration debt compounds faster than anything else on a platform. Adam shares how StoneX stopped integrating point-to-point and standardized on Dapr, running trading-day monitoring and live order routing on systems that own no database, no scheduler, and no queue:
- The integration tax\, and how a common runtime removes it
- How "stateless" and "durable" actually work together
- Paging on what matters: not busy CPUs\, but reconciliations that don't complete on time
- Monitoring that respects regulated control boundaries

Venue:
307 West 38th Street Studio 1401, New York, NY 10018
Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events\, learning materials\, study groups;
- Startups: innovation\, projects collaborations\, founders/co-founders;
- Jobs and Careers: job openings\, post resumes\, hiring managers