Ad-Hoc
Sporadic, unanchored AI usage relying on single-shot prompting with minimal verification, treating AI primarily as an ad-hoc search or drafting tool.
Capability Diagnostic
AI Effectiveness Rating (AER™)
The flagship AER™ capability evaluation measuring real-world AI effectiveness across six disciplines.
Audience: C-Suite Executives, Enterprise Leaders, and Operational Builders
The deliverable
A board-ready executive briefing detailing the delta between your peak individual performance and everyday systemic adoption, paired with a custom action playbook.
The 6-discipline framework
6 BEHAVIORAL DISCIPLINES
THE EVALUATION FRAMEWORK
Capability is evaluated across 6 core behavioral disciplines. Hover over any discipline button below or point on the radar chart to explore how each discipline is defined and measured during the diagnostic.
Capability maturity tiers
Functional
Consistent application of AI across standard daily tasks using basic templates and structured inputs to drive personal yield, though processes remain individual and undocumented.
Systematic
Embedding AI into documented playbooks and repeatable habits. Establishes clear output verification, standardized prompts, and measurable time-and-quality leverage.
Architectural
Redefining operational architecture through custom context engineering, multi-tool orchestration, strict quality gates, and process redesign across functional boundaries.
Global capability benchmarks
Aggregated telemetry from all completed diagnostic sessions across the enterprise network.
Awaiting sufficient cohort data to generate global benchmarks.