Date Start Date: 10/28/2026 Start Time: 2:00 PM EST End Date: 10/28/2026 End Time: 3:00 PM EST Contact Name: Ethan Castillo Email
How does your finance organization compare with top performers — and how is AI changing the benchmarks that define excellence? Traditional measures remain critical for identifying performance gaps and setting realistic targets. But AI is raising the bar for efficiency and effectiveness — while introducing new measures for evaluating adoption, productivity and business impact. The differences are striking: top performers are 3x more efficient in staffing and operate at 30-60% lower costs. Join Grant Thornton and Auxis finance transformation leaders for a practical look at how finance benchmarking is evolving — and where AI, operating model improvements and other transformation levers can drive better results. You’ll discover: Which metrics matter most for evaluating finance overall and by function How AI is reshaping finance benchmarking — and new metrics to consider How your organization compares with top performers across AP, AR and General Accounting, using benchmarks from respected authorities like APQC The “right” performance level to target based on your organization and operating environment How to uncover the root causes behind performance gaps — and prioritize improvement opportunities The finance use cases where AI and automation can deliver the greatest impact Learning objectives Assess finance performance using relevant benchmarks across AP, AR and General Accounting. Interpret benchmark results to identify meaningful performance gaps and set achievable improvement goals. Recognize how AI and automation are reshaping traditional finance measures and apply emerging metrics to evaluate productivity and business value. Identify underlying performance drivers and determine which process, technology, talent and operating model change can address them. Measure AI and automation opportunities based on business value, organizational readiness and expected impact. Visit the Website
