How do you know which AI to trust? A year ago, the question was whether to use AI in finance at all. Now, finance leaders are asking which large language models (LLMs) to use and why. Because models differ in what they cost and which tasks they can be trusted to handle, the answer can reveal compliance gaps.

Most of what governs your spend isn't written down. It lives in rarely reviewed policies or in an auditor's head. The next step in adopting finance AI is turning that human judgment into instructions an AI Agent can act on, handing them off to the best model for the job, and testing the Agent before it touches any transactions.

In this live session, you'll discover:

• What changed this year, from e-invoicing mandates to AI Agents that can initiate spend controls
• Why a "black box" answer is no longer acceptable and what an AI audit trail should look like
• How written policies are the new configurations, governed like software
• Which metrics prove a model is trustworthy, and where human judgment should remain the final word
• How to build a hybrid workforce with governance, alongside your ERP or EMS

Be sure to bring your auditors' questions to our live Q&A session at the end.

FEATURING

Jennilyn Ho Senior Product Marketing Manager, AppZen

Anjali Kasula Product Marketing Specialist, AppZen