Where It Leads
Your Personalized Prescription
No two organizations get the same prescription. Yours is built from whatever mix your organization actually needs.
Where You Start
The Diagnostic Comes First
Every prescription begins with the free diagnostic's directional read, then validates and deepens it through the AI Performance Gap Assessment: a structured, evidence-based look at whether your organization has the human-performance conditions to convert AI adoption into real results.
Learn About the DiagnosticHow We Build It
How the Assessment Shapes Your Prescription
The assessment is grounded in a structured, evidence-based look at the human and organizational conditions actually shaping your AI results, gathered through surveys, questionnaires, and targeted interviews across fourteen themes. Those findings are what your prescription is built from:
01Executive alignment
Whether executives share a common view of AI's purpose and expected value.
02Leadership accountability
Whether leaders own the results and are accountable for them.
03Management practices
Whether managers have what they need to lead AI-enabled teams well.
04Role and decision clarity
Whether roles, decisions, and standards are clear enough to act on.
05Employee trust and adoption
Whether employees trust AI enough to actually use what's been rolled out.
06Cognitive load and fragmentation
Whether AI use is adding focus to people's days, or adding noise and interruptions.
07Decision quality
Whether decisions reflect clear judgment rather than reflexive reliance on AI output.
08AI speed and human judgment
Whether teams balance AI-generated speed with human judgment and quality control.
09Motivation and engagement
Whether people stay motivated and engaged as their work changes around AI.
10Psychological safety
Whether people feel safe raising concerns or admitting mistakes around AI use.
11Collaboration and coordination
Whether teams and functions coordinate, rather than using AI in isolation.
12Recovery and sustainable performance
Whether performance gains hold up over time without burning people out.
13Learning and adaptability
Whether the organization keeps adapting as AI use continues to evolve.
14Measurable performance
Whether AI use is actually converting into results the organization can measure.
Why This Comes Next