November 10 | 11:00 AM PT • 2:00 PM ET
For the past two years, a lot of finance AI got bought on momentum and FOMO. Now, the days of implementing AI for the sake of AI are over, and CFOs now face a simpler question: what did we actually get for it? The problem: only 21.0% of organizations say their AI initiatives have achieved meaningful results.
Proving AI value doesn’t have to be an exercise in futility. Auditoria works with enterprise finance teams running agentic AI across AP and AR every day. In this session, we will explore the end-to-end process of how to buy AI and measure outcomes for your AP and AR initiatives.
You’ll learn how to:
- Start inside your own four walls. Map where the work goes, baseline today’s metrics, and set targets the business cares about.
- Find the gaps that limit results. How to take an honest look at where the friction points are – they are often the most obvious.
- Evaluate vendors on proof, not promises. Ask how they’ll help you show it worked, not just what their AI can do.
- Track value after go-live. Leave with a practical toolkit for measuring AI outcomes in finance, including realistic ramp expectations.