Data & AI Maturity Assessment

The Challenge

Organisations everywhere are investing in data and AI, but most are struggling to turn ambition into impact.

~70%

of AI initiatives stall before reaching production

McKinsey

$3.1T

estimated unrealised annual value from data & AI

McKinsey Global Institute

2 in 3

executives lack a clear AI implementation roadmap

Gartner

Organisations need an evidence-based assessment they can use to pinpoint exactly where to focus, to define their strategy, engage their people and delight their customers.

The Framework

Built on established models and validated through real-world transformation programmes.

Research-Based

Grounded in established data and analytics maturity frameworks, used by leading enterprises globally.

AI-Inclusive

Incorporates dedicated AI readiness dimensions, covering capability, infrastructure and operational deployment.

Practitioner-Validated

Refined through hands-on experience leading retail and enterprise transformation programmes. Calibrated to real organisational reality.

26 Questions

6 Dimensions

15–20 Minutes

5 Maturity Levels

Six Dimensions of AI Maturity

Each dimension captures a critical pillar of successful data and AI transformation.

1

Strategy & Vision

Is there a clear, documented data and AI strategy with executive sponsorship?
Are success metrics defined and investment committed?

Considers: Strategic alignment, Executive buy-in, funding model, KPIs

2

Culture & Skills

Does the organisation have the people, mindset and capabilities to deliver?
Is there a talent strategy for data and AI roles?

Considers: Data literacy, AI expertise, resourcing, talent pipeline, change readiness

3

Data Foundation

Is data accessible, integrated, and trustworthy?
Can the organisation build reliable analytics and AI on what it has today?

Considers: Data quality, integration, master data, real-time access, governance

4

Technology & Infrastructure

Are platforms modern enough to support advanced analytics and AI at scale?
How easily can new capabilities be integrated?

Considers: Cloud maturity, AI/ML tooling, integration capability, scalability

5

Analytics & AI Capability

What analytical and AI capabilities are in production today?
How far has the organisation progressed from reporting to prediction to automation?

Considers: Analytics maturity, models in production, decision automation, predictive depth

6

Governance, Risk & Compliance

Is data governed, with clear ownership and quality standards?
Are privacy, security and responsible AI use documented and enforced?

Considers: Data governance, privacy and security, responsible AI policy, accountability for outcomes

Five Maturity Levels

Your overall score maps to a maturity level — each with distinct characteristics and a clear path to the next.

Ad-hoc

Emerging

Systematic

Differentiating

Market-Leading

Ad-hoc analytics, siloed data, limited governance.

Pockets of excellence emerging. Some standardisation.

Enterprise capabilities in place. Formal governance.

Data-driven culture embedded. AI in production.

AI-native operations. Data monetisation. Industry leadership.

"We aren't sure where to start." "Good work, but not yet joined up." "We have the foundation in place, now we need to scale." "Data shapes our strategy, drives our actions." "AI is our competitive advantage."

How It Works

A clear, structured process from assessment to action.

1

Assess

Answer 26 calibrated questions across 6 dimensions. Takes 15–20 minutes. No preparation needed.

2

Score

Receive weighted scores for each dimension and an overall maturity level from Ad-hoc to Market-Leading.

3

Diagnose

See your strengths, gaps, and key insights. Understand where you stand relative to best practice.

4

Act

Get 3–5 prioritised, maturity-level-aware recommendations with specific actions, timeframes, and prerequisites.

What You Receive

A comprehensive, personalised assessment — not generic advice.

Overall maturity score and level (1–5)
Individual scores across all six dimensions
Strengths and gaps identification with contextual interpretation
3–5 prioritised recommendations tailored to your maturity level
Specific actions, prerequisites, and timeframes for each recommendation
Downloadable PDF report — executive-ready, shareable