Why It Matters Now

Your assistants have turned into agents. They’re not just answering questions anymore. They’re built into your workflows, making recommendations that used to come from a person, about a client’s money.

In a regulated industry, that creates a fiduciary problem, not just a technology one. If your firm makes a recommendation, a person must own it, AI or no AI. That means you need to show how the agent got there, not just that it got there.

On top of that, the model behind your agent keeps changing, whether you ask it to or not. The same prompt, the same document, can give you a different answer three months from now. If you’re not testing for that drift on a set schedule, you won’t know your answer changed until a client, or an auditor, asks you why.

Firms that build in explainability and a paper trail now are ready for that question. Firms that skip it are the ones reconstructing a decision after the fact, with a client’s money and their own credibility on the line.

This session uses financial services examples because regulated firms feel this pressure first. But the same questions are showing up in insurance, manufacturing, and healthcare and other industries as AI takes on more decision making. If your organization is heading there, the framework applies to you too.

What You’ll Get From This Session

This isn’t a product demo. It’s a working session on how firms in regulated industries are proving their AI made the right call and catching it when it doesn’t.

You’ll leave with:

• A plain language breakdown of agents and agentic workflows, and why they raise the stakes on a fiduciary decision
• What explainability means in practice, and what you need on hand when a regulator or an auditor asks
• How model drift happens, and a simple way to test for it on a schedule, like a quarterly model review
• A real example of how to keep a record of prompts, decisions, and model versions, so you can show your work months later
• A framework for deciding which processes to put a paper trail around first

Who Should Attend

• Compliance and risk professionals in financial services
• Operations leaders and practice managers rolling out AI driven workflows
• Information governance leaders
• Anyone who signs their name to a client recommendation and wants to know they can explain it later
• Leaders outside financial services watching how regulated industries are handling AI oversight, since these same questions are coming to your industry next