Living methodology · v3.0

From conversation to a clear path forward.

A source-traceable enterprise maturity framework with seven core digital dimensions, an explicit GenAI and agentic capability module, separate AI and GenAI readiness scores, evidence confidence, target levels, and dependency-aware roadmaps. Every signal becomes evidence, every score stays explainable, and every recommendation respects what must happen first.

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Assessment architecture

The assessment matrix

8 dimensions · 37 criteria · 5 maturity levels each.

37signals of maturity
DIMENSION 01

Strategy & Leadership

4 criteria

Equal weight (1.0): without strategy & sponsorship, no other dimension sustains progress; weighted equally rather than above others to avoid double-counting its influence on AI-readiness.

New in framework v3.0

GenAI & Agentic Readiness

A separate cross-cutting score assesses whether the organization can consume, build, operate, and govern foundation-model and autonomous-agent systems. It is reported separately so GenAI does not double-count the seven core dimensions.

GenAI Value Portfolio & Product Ownership

Target level 3 · A governed portfolio selects use cases by value, feasibility, risk, and adoption, with named product owners and outcome metrics.

Foundation Model & Platform Strategy

Target level 3 · A managed platform standardizes model access, identity, gateways, model selection, fallbacks, quotas, and environment separation.

Knowledge, RAG & Unstructured Data Readiness

Target level 3 · Priority knowledge has owners, access controls, ingestion pipelines, metadata, lineage, freshness targets, and retrieval evaluation.

GenAIOps, Evaluation & Observability

Target level 3 · Versioned prompts, models, retrieval and policies pass automated task, safety, latency, and cost evaluations before release.

GenAI Security, Safety & Content Provenance

Target level 3 · Risk-tiered controls cover privacy, security testing, prompt injection, output safety, human review, provenance, vendors, and incidents.

Workforce Adoption & Human Oversight

Target level 3 · Role-based enablement, approved workflows, human-review rules, communities of practice, and adoption measures are established.

Agentic Autonomy, Identity & Tool Controls

Target level 2 · Agents operate in constrained pilots with manual approval, limited tools, and basic action logging.

How scoring works

Seven steps from evidence to roadmap. Scroll to follow.

01

Criterion score (1–5)

The AI scores each criterion against its 5-level rubric, grounded in evidence from the conversation and uploaded documents.

02

Criterion confidence (0–1)

Confidence grows with the strength and volume of evidence. Document evidence counts more than a passing remark. No evidence → zero weight.

03

Dimension score

A confidence-weighted average of its criteria. Partially-probed dimensions reflect only what was actually assessed — never a deflated average.

04

Digital Maturity Score

Weighted average of dimensions assessed to ≥70% confidence, divided by assessed-dimension weights only.

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AI Readiness Score (0–100)

Composite of 6 cross-cutting components. Strategy and Data weighted 1.5× as leading indicators. Normalized 1–5 → 0–100.

06

Benchmark delta

Every criterion has an industry-typical target. The report shows where you lead or lag peers, adjusted for org size and regulation.

07

Dependency map

Cross-dimension dependency edges sequence the roadmap so you never scale AI before the foundations are solid.

See the math in action

Drag the sliders. The score updates live.

Try it: score Strategy & Leadership

Drag each criterion's level (1–5). The dimension score and AI-readiness recompute live, using the same functions as the real assessment.

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Dimension score
3.0
Level 3 · Defined
AI Strategy readiness
60/100

Dependency map

10 cross-dimension dependencies sequence the roadmap. Hover a node to see its connections.

StrategyTechnologyDataAICultureOperationsCustomerGenAI
Selected dimension

Strategy & Leadership

Equal weight (1.0): without strategy & sponsorship, no other dimension sustains progress; weighted equally rather than above others to avoid double-counting its influence on AI-readiness.

Depends on

Foundational starting point

Unlocks

GenAI & Agentic Systems

Hover, focus, or click a node to inspect its role in roadmap sequencing.

Grounded, not invented

Reference frameworks

A navigable library of the established models synthesized into one coherent assessment.

NI
01/17

NIST — AI Risk Management Framework 1.0

A convergent source for the maturity model.

View original framework
NI
02/17

NIST — AI RMF: Generative AI Profile (NIST AI 600-1)

A convergent source for the maturity model.

View original framework
IS
03/17

ISO/IEC — ISO/IEC 42001:2023 — AI management systems

A convergent source for the maturity model.

View original framework
IS
04/17

ISO/IEC — ISO/IEC 42005:2025 — AI system impact assessment

A convergent source for the maturity model.

View original framework
aws
05/17

AWS — Well-Architected Machine Learning Lens

A convergent source for the maturity model.

View original framework
aws
06/17

AWS — Well-Architected Generative AI Lens

A convergent source for the maturity model.

View original framework
aws
07/17

AWS — Well-Architected Agentic AI Lens

A convergent source for the maturity model.

View original framework
aws
08/17

AWS — Well-Architected Responsible AI Lens

A convergent source for the maturity model.

View original framework
09/17

Microsoft — MLOps maturity model

A convergent source for the maturity model.

View original framework
10/17

Microsoft — MLOps and GenAIOps for AI workloads

A convergent source for the maturity model.

View original framework
11/17

Microsoft — Agentic AI adoption maturity model

A convergent source for the maturity model.

View original framework
G
12/17

Google Cloud — AI Adoption Framework

A convergent source for the maturity model.

View original framework
Si
13/17

Singapore IMDA / AI Verify Foundation — Model AI Governance Framework for Generative AI

A convergent source for the maturity model.

View original framework
OW
14/17

OWASP — Top 10 for LLM and GenAI Applications 2025

A convergent source for the maturity model.

View original framework
OW
15/17

OWASP — Top 10 for Agentic Applications

A convergent source for the maturity model.

View original framework
MIT
16/17

MIT CISR — Pathways to Future Ready

A convergent source for the maturity model.

View original framework
McK
17/17

McKinsey & Company — Raising your Digital Quotient

A convergent source for the maturity model.

View original framework
Designed for momentum

Why this drives success

A stronger assessment does more than describe the present. It creates shared conviction about what to do next.

15 min
to a first maturity baseline

Replace weeks of survey coordination with one guided conversation.

100%
evidence traceability

Every score points back to a statement, document, or observed signal.

30
sequenced capabilities

Dependencies turn a wish list into an executable transformation path.

strategic perspective

See digital maturity and AI readiness together—not as separate programs.

Built differently

What makes it unique

Not another benchmark PDF. A living decision system that connects evidence to confidence, scores to dependencies, and priorities to action.

Evidence → insight → sequence → momentum

Conversational intelligence

The system probes, clarifies, and adapts like a consultant instead of collecting static form answers.

Defensible by design

Confidence and provenance stay attached to every recommendation, so leaders can challenge the result constructively.

Dependency-aware action

The roadmap recognizes that governance, data, talent, and platforms must mature in the right sequence.

Digital + AI, unified

One versioned model connects today's operating maturity with tomorrow's ability to scale responsible AI.