AI Benchmarking

AI benchmarking is the systematic evaluation of an organization’s AI capabilities, performance, and maturity relative to peers, industry standards, or leading practices. It examines areas such as strategy, data readiness, model development, governance, technology platforms, use case adoption, and value realization. AI benchmarking provides objective insight into strengths, gaps, and improvement priorities, helping leaders understand where AI investments are delivering impact and where changes are needed. By grounding decisions in comparative data, AI benchmarking supports more informed planning, risk reduction, and effective scaling of AI initiatives across the organization.