The Failure Rate Is Real
70-85% of AI projects fail to deliver value. They fail because companies buy tools before they build the culture to use them.
The Data
Chief AI Architect, NYU Stern
"AI adoption barriers are not technological but behavioural - it requires fundamental change in how individuals think."
Ex-Amazon, IBM, Estée Lauder
"Only 48 of my 200+ AI deployments made it to production and stayed there. The difference wasn't the technology - it was the human factors."
AI Advisor, Ex-Amazon AI
"61% of organisations encourage AI experimentation but only 44% have governance teams. That gap is alarming."
State of AI Report 2025
"High performers are 3× more likely to have active executive champions for AI initiatives."
"Culture—not technology—is often the biggest barrier to AI adoption. To bridge the gap between pilot and production, we must focus on the human systems that power the machines."
Nufar Gaspar
Director of AI & Innovation
Gaspar's six pillars for creating an AI-ready culture.
Moving beyond generic hype to specific, role-based clarity on how AI changes daily work.
Establishing protocols where humans remain the decision-makers to ensure trust.
Shifting the mindset from fear of replacement to enthusiasm for augmentation.
Building a community of internal champions who share wins and best practices across silos.
Implementing safety guardrails that enable experimentation rather than stifling it.
Providing continuous, practical upskilling so teams can actually use the tools.
The Research
Research confirms that while technology is accessible, the human capability to deploy it is the scarcity.
McKinsey reports that the single biggest barrier to scaling AI isn't pushback, but leadership inertia and lack of strategic alignment.
BCG research reveals that 70% of digital transformation failures stem from culture and process issues, not the software itself.
Gartner found that while tools are purchased, only a fraction of enterprises have a sustained enablement program to teach skills.
Organisations with strong governance move to production 40% faster because employees know the "safe lanes" for innovation.
If any of these human variables drops to zero, the entire initiative fails.
This isn't addition. It's multiplication.
When executives approve AI but don't visibly use it themselves.
When your team sees AI as a threat instead of a tool.
When people have tools but no idea how to use them effectively.
When discoveries stay siloed instead of spreading.
When nobody knows what's allowed with sensitive data.
When time saved just gets filled with more tasks.
Most AI failures aren't technology failures.
They're multiplication-by-zero failures.
Your Human Capability Score predicts whether AI will deliver lasting value or become another expensive experiment that quietly gets abandoned. It's the difference between:
Tools your team actually uses
vs. tools gathering digital dust.
Productivity gains that compound
vs. one-off efficiency wins.
Becoming AI-capable
vs. becoming AI-dependent on consultants.
We don't sell AI tools. We build the human foundation that makes AI work.
Our methodology addresses each factor in the equation before any technology is deployed. We assess where your zeros are, align your leadership, build your champions, and create the governance that prevents AI disasters. The result: 85%+ adoption rates where the industry average is 35-50%.
See How We Fix It →Find out exactly which variables are holding your organisation back.
Find Out Your Score