95%
95% of AI pilots fail when human factors are ignored (MIT 2025)
40%
40% faster time-to-hire for adaptable organizations (McKinsey)
3-5x
3-5x productivity gains where humans and AI truly partner (Multiple sources)
4.5M
$4.2M average cost of ignoring shadow AI risks (Industry average)
Every failed AI transformation has the same root cause: The gap between leadership assumptions and organizational reality.
While others impose top-down solutions, we surface bottom-up innovations. While others measure sentiment, we measure capability. While others promise change, we embed it.
The difference: We bet on your people, not what worked at Google.
Every failed AI transformation has the same root cause: The gap between leadership assumptions and organizational reality.

Uncover the disconnects between leadership intent and organizational execution (so you stop investing in initiatives that won't scale).
The Truth About Your AI Readiness
Parallel 45-minute interviews with C-suite and employees reveal:
Output: Actual proof of gaps that determines your entire transformation strategy

Measure actual workforce readiness and capability — not self-reported comfort — so you know who will drive your transformation.
The organizations that measure and manage human adaptability win. Period.
15-minute AI-led conversation to measure what people can do, not what they say they can do:
Key difference: We ask "tell me about the last time you..." not "rate yourself 1-5"
Output:

A staged execution model that turns gaps into capability and delivers ongoing change, not just a "done for now" report.
From Diagnosis to Market Domination
Every gap demands a different intervention. Here's how we close them:
Gap: 73% of employees can't connect AI initiatives to their work Fix: Executive alignment workshops + Shadow AI scaling sessions Result: Strategy becomes capability, not PowerPoints
Gap: C-suite talks AI but can't demonstrate it Fix: AI amplification bootcamps + Decision velocity training Result: Leaders who drive transformation, not resist it
Gap: Top 10% thriving, bottom 50% drowning Fix: Role-specific mastery programs + Peer champion networks Result: Every employee becomes a competitive advantage
Gap: Fear beats curiosity, resistance beats experimentation Fix: Psychological safety interventions + Behavior embedding Result: Culture that accelerates change instead of killing it
23 weekly touch-points ensure change sticks after consultants leave.
Leaders think AI vision is clear. Reality: 73% of employees can't connect AI initiatives to their role and only 25% of leaders see meaningful return on their AI investments
Leaders see IT efficiency. Reality: Shadow AI costs $4.2M per breach and wastes 30-40% of IT spending —at the same time, Shadow AI use represents 60% of your actual AI innovation, but it remains invisible to leadership.
Leaders think everyone's learning equally. Reality: Only 6% of employees feel very comfortable using AI and the top 10% of talent is getting recruited away.
Evidence over opinions - Behavioral interviews reveal what people actually do, not what they say
Capability building over checkbox training - 23 weekly touchpoints embed real behavior change
Bottom-up innovation over top-down mandates - Scale the 67% of innovation already happening in shadows
Measured transformation over magical thinking - Adaptability scores prove progress or we pivot
McKinsey Global Institute (2025):
“Organizations combining AI with structured human oversight achieve 73% better outcomes. It's not about the technology—it's about adaptability.”
Boston Consulting Group AI Radar (2025):
“75% of executives rank AI as top priority, but only 25% report meaningful value. The gap? Human readiness.”
Deloitte Future of Work (2025):
“Companies prioritizing skills over degrees see 30% higher productivity in first 6 months. Adaptability beats credentials.”
Forrester AI Predictions (2024):
“60% of employees will use shadow AI tools. Organizations that surface and scale these innovations will dominate.”
