Your AI pilots work.
Production is where they die.
87% of AI projects never make it past pilot. The problem is rarely the model — it's everything around it.
Find out exactly what's blocking you.
The industry agrees: most enterprises aren't ready for production AI
More than 30% of GenAI projects will be abandoned after proof of concept by 2026.
68% of organizations lack a structured framework for prioritizing AI use cases.
Only 11% of GenAI pilots have made it to production at scale.
Not another maturity checklist.
A real diagnostic.
Built on research from Gartner, McKinsey, BCG, and MIT — pinpoints exactly where your AI program is breaking down.
Your AI Maturity Level (1–5)
Not a vanity score. A real diagnostic of where you are on the path from experiment to AI-native — scored across 6 independent dimensions.
Your #1 Bottleneck
The single dimension most holding you back. Not six things to improve — the one thing that matters most right now to unblock production AI.
A Next-Level Roadmap
Research-backed actions calibrated to your specific gaps. What "good" looks like at the next level, and exactly what's standing in the way.
We measure what actually matters
for production AI
Not just "do you use AI?" — but whether you have the infrastructure, skills, and governance to make it reliable.
Strategy & Use Case Selection
Are you picking AI use cases that create real business value — or chasing demos?
Data & Knowledge Infrastructure
Can your AI systems actually access, trust, and reason over your enterprise data?
Technology & Architecture
Is your stack built for production AI — or stitched together from POC tools?
Talent & Operating Model
Do you have the skills and structure to build, deploy, and maintain AI at scale?
Governance & Trust
Can you explain, audit, and control your AI systems — or are you flying blind?
Adoption & Value Realization
Are people actually using what you build — and can you prove the ROI?
The jump from pilot to production
is where 50% of AI initiatives die.
The skills that got you a successful demo are fundamentally different from those needed for reliable, scalable, governed AI in production.
Most teams don't realize they've stalled until they've wasted months. Find out where you actually stand — before your competitors do.
Stop guessing.
Start diagnosing.
Every week you spend building on the wrong foundation is a week your competitors are getting right.