How Finance Teams Are Moving Beyond AI Pilots to Deliver Measurable Impact
AI pilots in finance are increasing, but many teams are still struggling to achieve consistent results at scale.
In accounts payable and wider finance operations, organizations continue to face a gap between automation activity and real operational transformation.
Recent IFOL research highlights the scale of the challenge:
- 63% of AP teams spend more than 10 hours per week processing invoices
- 66% still manually enter invoice data into ERP systems
- The top challenges remain manual data entry and data errors or discrepancies
These findings show a clear gap between AI adoption and meaningful impact in day-to-day finance operations.
To explore this in more detail, we’ve created a new white paper in partnership with Vic.ai.
What’s Covered
This guide helps finance leaders understand why AI is not yet delivering full value and what is required to scale successfully.
You will learn:
- Why AI pilots in finance often fail to scale
- What is preventing consistent operational impact
- What “working AI” looks like in finance
- How leading teams reduce manual effort in AP
- The shift from efficiency to capacity creation
- How organizations move from pilot to scale
Why Download It
If your finance team is:
- Struggling to scale AI beyond pilots
- Still relying on manual invoice processing
- Facing inconsistent automation results
- Looking to improve AP efficiency and control
This paper will help you understand what is holding performance back and how leading teams are overcoming it.
Complete the form below to access your copy and learn how leading finance teams are turning AI adoption into measurable operational impact.
