Artificial Intelligence
AI Maturity Index
How ready your organization is to adopt AI methodically — assessed across 5 dimensions in light of MIT CISR, Gartner, ISO/IEC 42001, and NIST AI RMF.
The problem it solves
Budget, a technical team, and running pilots aren't enough: projects don't reach production — or they do and no one uses them. The C-level wants results, the team wants data, and the business doesn't know what to ask for.
The problem is almost never technology. According to MIT CISR, organizations in the early stages of AI maturity perform financially below the sector average; the leap is in turning experiment into capability.
What it assesses
What the assessment evaluates
Each dimension is assessed in depth — no critical area is left out.
AI Strategy & Leadership
Vision, investment, and executive leadership — roadmap, ROI, and a formal owner for AI.
AI Data & Infrastructure
Data quality, platforms, architecture, and MLOps ready for AI at scale.
People, Culture & Skills
The right people, defined roles, and a culture for AI to thrive beyond the technical.
Use Cases & Operationalization
Turning opportunities into real value — from the idea portfolio to production.
AI Governance, Ethics & Risk
Structures, policies, and controls for responsible and compliant AI (LGPD, AI Act).
The scale
The 5 maturity levels
Each dimension and the organization as a whole are placed at a clear level — color, number, and name.
AI absent or in isolated experiments, with no strategy, ready data, or governance; ad hoc initiatives by enthusiasts.
Deliberate pilots emerge with some coordination, but most don't reach production; first investments in data.
AI as an organizational capability: formal strategy, designated leadership, managed portfolio, and cases in production.
AI integrated into critical processes, generating consistent value, with monitored models and formalized governance.
AI as a central competitive advantage, with responsible, scalable use and systematized continuous learning.
Calibrated, not generic
Provenance and calibration
The analysis carries the reasoning of the reference frameworks — that’s what separates a calibrated assessment from generic advice.
Want to go deeper? Understand the methodology, dimensions, and levels in detail in the technical guide.
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