Enterprise AI Maturity Index
Understand how ready your organization really is to scale AI.
Based on the MIT CISR model, this assessment helps leadership teams identify where the real barriers to AI value creation sit: organizational capacity, not just technology.
- A strategic diagnosis of readiness, scaling barriers, and capability gaps.
- A leadership view of where AI can create measurable business value first.
- A practical starting point for moving from pilots to enterprise impact.
Why companies get stuck
Most organizations are investing in AI. Very few are turning it into enterprise value.
The challenge is usually not access to models or tools. It is the ability to align strategy, data, governance, talent, workflows, and leadership around scaled adoption.
95%
of organizations do not achieve return on their generative AI investments
5%
of pilots scale to production with measurable value
+10 pts
profit margin advantage for companies in advanced maturity stages
+17 pts
growth advantage for organizations that reach future-ready capabilities
MIT CISR Framework
A maturity model built around capability, not hype.
The methodology combines the MIT CISR Enterprise AI Maturity Model, the Future Ready capabilities framework, and the AI Alignment lens to assess whether AI is actually becoming a scalable business capability.
Four stages of maturity
1. Experiment and Prepare
Low-risk exploration, AI literacy, acceptable-use policies, and first experiments.
2. Pilots and Capabilities
Structured pilots, clearer use cases, stronger data foundations, and early platform capability.
3. Industrialize AI
Reusable architecture, standardization, governance, and the ability to scale what works.
4. Future Ready
AI embedded in decisions, operations, and new business models with continuous learning.
What the assessment measures
The diagnostic looks at maturity through seven lenses and then translates the findings into a practical roadmap.
Two-layer design: core maturity score plus contextual profiling
Six maturity blocks plus a dedicated AI Alignment mini-module
Shared 5-point maturity scale across all scored questions for benchmarking
0–100 index with stage thresholds from Experiment and Prepare to Future Ready
AI Alignment
The assessment also tests whether AI is aligned scientifically, operationally, and organizationally: whether models reflect reality, fit real workflows, and create net value for stakeholders.
What you receive
A global AI maturity score and the stage your organization is currently in.
A view by capability area: strategy, data, governance, talent, use cases, ecosystem, and AI alignment.
Priority strengths to build on and critical gaps that require intervention.
An actionable roadmap organized by short, medium, and longer-term moves.
Who it is for
Leadership teams shaping an AI agenda beyond experimentation.
Organizations struggling to scale pilots into repeatable operational value.
Companies that need a credible external framework to align stakeholders around transformation.
Start the guided diagnostic
Open the guided brief in AI Chat to share your context. We will use it to identify likely blockers, maturity signals, and the most sensible first step for your organization.