How and When to use AI in Finance

When (and When Not) to Use AI in Procure-to-Pay (P2P)

Welcome to our discussion on when and how to use AI in Procure-to-Pay (P2P) processes.

In this podcast, we will consider the use of AI in finance, and particularly in P2P, as it has become a priority topic for many organisations. The conversation has clearly moved on. The key questions are no longer “Can we use AI?” but rather:

Where does it actually make sense to use AI?

How should you use AI to gain a positive outcome and create real value?

The goal should be to apply AI in a targeted, practical way that improves P2P outcomes—not to adopt “AI for AI’s sake.”

We will highlight the key considerations before applying AI

Starting with the right question: where should you use AI in P2P?

Show where AI delivers the most value in P2P

Create a simple framework to decide where to use AI

Explore the pros and cons of AI in P2P, including the benefits, risks and challenges

Final Thought

The most successful AI initiatives in P2P don’t start with technology—they start with the process. By understanding where volume, repetition, and clear outcomes exist, organisations can apply AI in a way that delivers measurable, sustainable value.

AI works best when it supports good P2P design, not when it’s used to compensate for broken processes.

If you would like to have your questions answered? Simply book a call with one of our experts to see how we can assist you.

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By managing procurement efficiently, a business can optimise its supply chain, cut costs, reduce risks, and uphold quality standards. It serves as the foundation of any successful organisation, directly impacting areas such as production, inventory management, customer satisfaction, and financial stability.

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