Artificial Intelligence (AI) Resources

Explore key AI resources including Special Interest Groups, projects, videos, and more to help you understand, implement, and contribute.

AI LINKS

How to Contribute to the FINOS AI Strategic Initiative

Contribute across AI governance, cloud controls, and strategic forums to transform shared expertise into scalable, industry-wide AI standards.

AI Readiness Special Interest Group

Providing a space to address AI-related challenges that are common to all members.

AI Governance Framework

A comprehensive collection of risks and mitigations that support on-boarding, development of, and running Generative AI solutions.

Applied GenAI

A collaborative project focused on identifying & developing innovative use cases for GenAI in the financial services industry.

AI VIDEOS

Operationalizing AI Governance

In this strategic session, Luca Borella (FINOS) demonstrates how to bridge the gap between abstract AI policy and production-ready implementation. He explores how the FINOS AI Governance Framework (AIGF) serves as the "vertical spine" of the financial tech stack, integrating with emerging standards like MCP and orchestration engines like Fluxnova.

FINOS Project Demo Sessions: AI Governance Framework (AIGF)

In this demo, learn how EQTY’s Governance Studio helps implement the AIGF with a streamlined checklist and automated tools to enable verifiable AI compliance.

Enabling AI-Native Software Development in Financial Services With Open Source

In this talk, we will walk through how JP Morgan have created our own AI-coding tools using open-source software, securely provided proprietary organizational knowledge to our solutions using MCP, implemented telemetry into our tooling, and created an autonomous AI system that automatically keeps our open-source library dependencies, like Spring Boot, evergreen.

Neurosymbolic AI: Building Better AI Solutions in Financial Services

The focus will be on a realistic example: an AI-supported portfolio manager that combines neural networks with symbolic AI into a single, coherent, multi-agent system.

Agents Assemble! a Workforce of Bots To Boost Your Teams’ Productivity

The S&P Global ‘ASTRA’ platform is an internal proprietary agentic workflow platform designed to streamline tasks and enhance productivity across various personas and workflows. Built on open standards such as MCP and A2A, and leveraging open-source frameworks like the AI SDK, it transforms productivity across multiple business functions and technical roles. Open source is woven throughout ASTRA's entire architecture, from the open-source agent engine that powers intelligent decision-making to the open-source MCP server implementations that provide specialized tools for streamlining every phase of the SDLC.

AI Adoption: A Transformation Problem

This talk will take a broad look at the current challenges surrounding AI adoption and explore what we as both people and organisations need to do to become truly AI-ready. We’ll also highlight the latest efforts from FINOS, including the release of the AI Governance Framework v1, a significant milestone on the journey to successful AI adoption.

FDC3 and AI: Using FDC3 Intents as MCP Tools

FDC3 intents offer a powerful, action-oriented foundation for bringing AI into enterprise workflows — allowing co-pilots to take action across applications while minimizing data requests. In this hands-on workshop, we’ll demonstrate how to turn FDC3-enabled applications into secure, deterministic AI tools by creating well-structured prompts mapped to FDC3 intents.

DIAL It In: Open-source, Secure and Customizable Enterprise-grade Agentic AI Platform

DIAL is an open-source platform ( https://dialx.ai/open-source ) designed to unify and simplify the development of generative AI applications in the enterprise. As organizations struggle to manage fragmented GenAI stacks—multiple LLMs, APIs, tools, and data systems—DIAL provides a cohesive, agent-based architecture that orchestrates models, tools, and structured data with ease. In this session, we’ll explore and demo how DIAL enables developers to build intelligent, multi-agent applications that call APIs, run tools, access vector databases, and generate insights across enterprise data. We will interactively build and deploy a DIAL AI agent that assists in performing market and company financial research.

Fork the Bank — How Open Source Is Rewriting the Rules of Finance

Open source is transforming financial services — from risk-first development to AI-driven automation — and collaboration is at the core. In this LF Live Webinar, hosted by Tim Serewicz (VP of Education, Linux Foundation), guests Rob Moffat (Chief Architect, FINOS) and Hélène Astier (Head of Technology MI, Enterprise Tech & Sustainability, S&P Global Market Intelligence) explore how open source is reshaping finance through standards, security, and shared innovation.

AI Readiness: Driving Innovation Navigating Governance, Security, & Ethics in Financial Services

This keynote panel, framed by the release of AI Readiness's Governance Framework, explores how innovation in artificial intelligence is shaping the financial services industry.

Unlocking Open Source & Navigating AI, Colin Eberhardt, Scott Logic

In this podcast the discussion touches on influence, cost reduction, and risk mitigation as key benefits, and explores the changing landscape of AI in financial services

FinSight AI Agent Demo: Metacognitive Multi-Agent Earnings Call Analysis

This video features Vincent Caldeira (Red Hat) presenting the FinSight Agent, a FINOS community prototype developed with Columbia University’s Secure Fin AI Lab. The session positions FinSight as a reference use case for FINOS work on an evaluation/benchmarking framework and the AI Governance Framework, emphasizing that agent evaluation must assess the full system lifecycle (tool use, orchestration, traces), not just LLM outputs.

AI - RESOURCES

addressing ai challenges in the financial services industry

AI RESOURCES

AI LINKS

AI VIDEOS

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