Most hedge funds and PE firms are already running generative AI, through that can often include personal accounts and consumer-grade tools nobody signed off on. A recent industry survey found that while 86% of hedge fund managers grant staff access to AI tools, fewer than a third have a formal governance policy in place. Join Atlas Technica, Energy Impact Partners and AIMA for a practical look at closing that gap.

This session will cover:

• Building a secure perimeter: moving from "everyone has ChatGPT" to "we can show the logs"

• Business-grade vs. enterprise-grade AI: what actually changes, and why it matters for a regulated fund

• Vendor evaluation: the questions to ask before signing, including how token consumption and overage charges can quietly turn a fixed-fee tool into a variable, unbudgeted cost

• The permission inheritance trap: why AI can surface MNPI and LP data it was never supposed to touch

• Agentic tools like Claude CoWork and OpenClaw: they don't just answer questions, they take multi-step actions and write to files, so capability is not a substitute for accountability. If you can't draw the architecture diagram, don't connect it yet

Speakers:

• Alex Vayner, Global Head of AI & Advisory, Atlas Technica
• Adam James, Partner, Head of Business Operations, Performance & Impact, Energy Impact Partners

Moderator:

• Michelle Noyes, Head of Americas, AIMA

In partnership with: