Your team has AI tools. They’re not using them.
AI Traction is a diagnostic-driven, cohort-based program that closes the gap between deploying AI tools and getting value from them.
Start a conversationSix reasons AI adoption stalls — and none of them are technical
Permission is unclear
Employees don’t know what’s allowed with AI tools
Manager bottleneck
Managers don’t model the behavior they’re asking for
“I tried it once” wall
One bad experience becomes permanent abandonment
No shared language
Team members have wildly different mental models of AI
Identity threat
Expertise feels devalued, not augmented
No feedback loop
Nobody measures what happens after deployment
How AI Traction works
Phase 0: Diagnosis
A paid standalone engagement ($5K-$10K) that maps the behavioral landscape before anything else happens. The diagnostic determines what the learning program needs to address, how organizational conditions need to shift, and what baseline measurements look like. Everything downstream is designed from these findings.
Phase 1: Leadership Alignment
Before the cohort program starts, leadership needs to be on the same page. This phase ensures managers model AI use, policies are clear, and the organizational environment supports change — not just permits it.
Phase 2: Cohort Program
Each 90-minute session has three parts: a skill module, an experiment share where participants discuss what they tried, and accountability pairs who commit to the next experiment. This is the WinAI methodology, adapted for enterprise.
Phase 3: Measurement
Every engagement produces evidence. We measure what changed, not just what people say changed. Behavioral data, manager reports, and ROI modeling that makes the case for continued investment.
Ready to find out what’s actually happening with AI in your organization?
Schedule a diagnostic conversation to uncover the human factors blocking adoption—and what we can do about it together.
Schedule a diagnostic