AI Adoption
Intelligence
Capture human signals.
See who’s ready, who’s resisting, and where momentum’s building.
In an era where every organization has access to the same AI tools and platforms, the real differentiator isn’t technology - it’s knowing when and where people will actually use it.
By capturing real behavioral signals from AI Racer, Adoption Intelligence gives leaders a clear map of where energy, resistance, and opportunity exist inside their organizations.
Phase 01_
AI Racer Simulation
AI Racer is not a workshop — it’s a live simulation that compresses months of learning into hours.
Teams race to solve real business challenges using AI, exposing behavioral patterns, collaboration dynamics, and capability gaps in real time. Every decision, hesitation, and breakthrough is captured as data.

Reveals true readiness
Surfaces hidden barriers to AI adoption — from mindset to process friction.
Accelerates alignment
Creates a shared language for AI across leadership, operations, and technical teams.
Generates high-fidelity data
Captures behavioral telemetry that becomes the foundation for actionable intelligence.
Phase 02_
Adoption Intelligence Report
The Adoption Intelligence Report transforms simulation data into a living map of organizational adoption.
It benchmarks teams across the EHSF model — Execution, Habits, Skills, and Focus — providing a quantifiable view of where AI is taking hold and where resistance is forming.

Pinpointed insight
Delivers measurable adoption metrics at the team and enterprise level.
Predictive clarity
Identifies patterns that forecast adoption velocity and cultural bottlenecks.
Strategic focus
Equips leaders with a data-driven narrative to target investment and training where it matters most.
Phase 03_
AI Telemetry: Organizational Transformation
AI Telemetry extends beyond snapshots — it’s a live feedback system that monitors how AI is reshaping the enterprise.
Through ongoing behavioral data, adoption analytics, and workflow signals, organizations gain an adaptive intelligence layer to steer transformation in real time.

Dynamic visibility
Tracks adoption progress and transformation impact as they evolve.
Embedded resilience
Builds a feedback-driven culture that learns, adapts, and scales AI impact sustainably.
Enterprise transformation
Turns adoption data into an operating system for change — one that powers decision-making, innovation, and growth.
