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The First Benchmark of Its Kind
More than 525 HR and total rewards professionals evaluated their organizations' AI practices using a consistent 16-capability framework, covering data readiness, governance, compliance, implementation, and strategic impact. This provides the most comprehensive view to date of AI adoption in total rewards.
What's Inside
Download the full report to learn:
- Benchmark of maturity distribution across five tiers, with breakdowns by industry, company size, and role.
- The say-do gap: organizations are 2.4 times more likely to have data foundations than to deploy AI on them.
- How AI-powered benchmarking leads to a 6.2 times increase in downstream AI adoption for pay recommendations.
- Organizations strong in both governance and implementation report a 50% business impact rate, nine times higher than those lacking both.
- Which governance and implementation combinations deliver 5 to 7 times higher measurable ROI.
- A structured path forward based on the five capabilities common to organizations achieving measurable AI ROI.
See Where You Stand
Most organizations are still in the early stages, which presents an opportunity. The maturity model not only shows your current position but also benchmarks you against peers and provides a step-by-step roadmap for future development. It transforms "we should do more with AI" into a concrete plan.
Download the report to benchmark your organization, then use Pave's AI Maturity Self-Assessment to evaluate your performance across all 16 capabilities.
More Resources
5 Questions Every CHRO Should Ask Before Deploying AI in Compensation
7 Factors Total Rewards Leaders Should Use to Evaluate AI Agents
A Data Readiness Framework for Compensation Teams Preparing for AI
