⚡ 5-minute assessment30 questions · 6 dimensions

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.

VP
CDO
CTO
AI
Dir
2,800+ data & AI leaders assessed
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50%+
of GenAI projects die after pilot (Gartner, 2025)
63%
lack the data practices AI demands (Gartner, 2025)
6 mo
average time stuck in "pilot mode" (RAND, 2024)
~5%
of enterprises are truly AI-native (BCG, 2025)
The Research Is Clear

The industry agrees: most enterprises aren't ready for production AI

30%abandoned

More than 30% of GenAI projects will be abandoned after proof of concept by 2026.

G
Gartner
2025 Prediction
68%unprioritized

68% of organizations lack a structured framework for prioritizing AI use cases.

M
McKinsey
State of AI, 2025
11%reach production

Only 11% of GenAI pilots have made it to production at scale.

B
BCG
AI Radar, 2025
🎯In 5 Minutes, You Get

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.

1
📊

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.

2
🎯

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.

3
🗺️

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.

📐6 Dimensions

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.

🎯
Dimension 1

Strategy & Use Case Selection

Are you picking AI use cases that create real business value — or chasing demos?

5 questions
🧠
Dimension 2

Data & Knowledge Infrastructure

Can your AI systems actually access, trust, and reason over your enterprise data?

8 questions
Dimension 3

Technology & Architecture

Is your stack built for production AI — or stitched together from POC tools?

5 questions
👥
Dimension 4

Talent & Operating Model

Do you have the skills and structure to build, deploy, and maintain AI at scale?

5 questions
🛡️
Dimension 5

Governance & Trust

Can you explain, audit, and control your AI systems — or are you flying blind?

5 questions
📈
Dimension 6

Adoption & Value Realization

Are people actually using what you build — and can you prove the ROI?

2 questions
☠ The Valley of Death

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.

2
Experimenting
Where most enterprises are stuck
60% stuck here
50%
fail here
3
Operationalizing
Where production begins
The critical leap

Most teams don't realize they've stalled until they've wasted months. Find out where you actually stand — before your competitors do.

5:00

Stop guessing.
Start diagnosing.

Every week you spend building on the wrong foundation is a week your competitors are getting right.

30 questions
6 dimensions
Personalized results
Research-backed
[Website env: production]