The Hackett Group Quantifies AI's Growing Performance Gap in Finance
Event summary
- The Hackett Group released AI World Class Finance benchmarks on July 15, 2026, quantifying how process-led AI transformation outperforms automation.
- Research shows order-to-cash costs can decline by 52% to 59%, with staffing requirements decreasing by 56% to 64%.
- AI World Class organizations see 83% more time spent on customer engagement in collections, reducing delinquent days by 85%.
- Benchmarks cover 16 end-to-end enterprise processes, including order-to-cash, account-to-report, treasury, and FP&A.
The big picture
The Hackett Group's benchmarks highlight a strategic inflection point where AI adoption is increasingly defined by operating performance rather than technology deployment. As SG&A costs outpace revenue growth, finance leaders face mounting pressure to leverage AI for sustainable efficiency gains. The research underscores how process redesign—rather than incremental automation—drives the most significant improvements in productivity and working capital.
What we're watching
- Performance Gap Expansion
- How the growing divide between AI-driven and traditional finance processes will impact competitive positioning.
- SG&A Cost Pressure
- Whether finance leaders can sustainably deliver measurable business value under increasing efficiency scrutiny.
- Process Redesign Adoption
- The pace at which organizations shift from isolated automation to end-to-end AI-enabled process reinvention.