AI World Class benchmarks

AI World Class benchmarks are performance standards that show how leading organizations use artificial intelligence, generative AI and intelligent automation to improve cost, productivity, service quality and operational performance. Drawing on measured performance data and leading organizational practices, these benchmarks help businesses assess their AI capabilities, understand what differentiates top performers and establish realistic improvement targets across business functions.

For business leaders, AI World Class benchmarks provide an objective basis for evaluating AI investments across finance, procurement, HR, IT and supply chain. They help identify high-value opportunities, strengthen business cases and prioritize initiatives based on expected returns. By distinguishing isolated task automation from end-to-end process improvements, organizations can direct resources toward changes with greater business impact. Regular assessments also support progress tracking, investment evaluation and alignment with strategic priorities.

The Hackett Group® draws on decades of proprietary research, performance data and functional expertise to define AI World Class performance standards. Its approach identifies capability gaps and opportunities for improvement, connecting these findings with practical AI strategies and transformation roadmaps. These cover use case prioritization, process redesign, operating model development, technology readiness and governance, helping organizations achieve sustained performance improvements and stronger business outcomes.