Introducing Maturity Maps — A New Way to Measure AI Adoption

2026-04-01 · Source: The AI Daily Brief: Artificial Intelligence News and Analysis · Field: Business & Management — Corporate Strategy & Leadership, Operations & Process Management, Consulting & Professional Services · Depth: Intermediate, extended

Summary

Superintelligent has introduced "Maturity Maps," a new framework designed to benchmark AI and agent adoption across organizations. This framework evaluates six key dimensions: deployment depth, systems integration, data, outcomes, people, and governance. The initial reference point is based on over 480 studies and 150,000+ survey respondents from the last quarter, revealing that most organizations are currently behind where they should be across nearly all dimensions. The framework aims to provide a clearer understanding of AI readiness beyond just use cases, highlighting gaps between current adoption and optimal integration. It also offers functional maps for areas like customer service, engineering, and IT, scoring each dimension on a five-point scale relative to an "on track" line.

Key takeaway

For CTOs and executives evaluating AI strategy, recognize that current benchmarks indicate a widespread "capability overhang." Your organization likely lags optimal AI maturity in areas like data, people, and governance, even with high reported adoption. Prioritize deep systems integration, robust data strategies, and significant investment in upskilling your workforce to convert AI adoption into tangible value and avoid falling further behind competitors.

Key insights

New Maturity Maps benchmark AI adoption across six dimensions, revealing most organizations lag optimal readiness.

Principles

• AI readiness extends beyond mere use case deployment.
• Data quality and access cap AI value across all functions.
• Human-centric investment is critical for successful AI integration.

Method

Maturity Maps organize AI/agent maturity into six categories, scored on a five-point scale against an "on track" line, informed by proprietary research and aggregated industry studies.

In practice

• Assess your organization's AI maturity via the bsuper.ai/quiz.
• Prioritize investment in people and data infrastructure.
• Focus on integrating AI deeply into existing systems.

Topics

• AI Maturity Maps
• AI Adoption Benchmarking
• Agent Readiness
• AI Governance
• Data Management

Best for: CTO, Executive, Director of AI/ML, VP of Engineering/Data, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Daily Brief: Artificial Intelligence News and Analysis.