Growth Acceleration Partners (GAP) has introduced its AI Impact Framework, a new system designed to measure the tangible business outcomes of artificial intelligence rather than merely tracking its usage. This initiative aims to help organizations differentiate between routine AI-assisted tasks and significant changes that drive productivity, automation, or reusable capabilities across teams.
The framework requires employees to provide evidence of AI-enabled work completed in the past six months. This evidence can include elements like production code, custom AI agents, automated testing systems, delivery pipelines, large-scale migrations, internal tools, and reusable systems. Importantly, self-reported or hypothetical AI capabilities are excluded from assessment.
The evaluation process within the framework employs a multi-agent approach: an evaluator first assesses the submitted evidence, an adversarial agent challenges unsupported claims and attribution, and a referee reviews both assessments before determining a final score. Human managers and project leaders validate the results, and any disputed assessments undergo additional review.
Participants are classified into four levels of AI maturity, ranging from limited AI integration to the ability to develop and operate AI agents, automated workflows, and reusable systems that generate a broader organizational impact. GAP reports that by July 2026, approximately 41% of its workforce had achieved Level 3, while about 48% had reached Level 2.
The company is also utilizing the framework internally to identify capability gaps and create personalized development plans for employees. The overarching goal of the framework is to establish measurable baselines, identify development needs, and aid organizations in transitioning from basic AI adoption to more autonomous and impactful operations.
For more information about GAP’s AI Impact Framework, visit www.WeAreGAP.com.
Jocelyn Sexton
Growth Acceleration Partners
+1 512-243-5754
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