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.

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

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:

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.”
