AI Build Group · Executive assessment

The AI Build AI Maturity Assessment — how mature is your organisation's use of AI?

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Six maturity dimensions
20 evidence-led questions
Personalised management report
Practical 90-day roadmap

The AI Build AI Maturity Assessment is a free, evidence-led scorecard for UK SME and mid-market leadership teams. It measures whether generative AI is a repeatable, governed capability — not just licences — then returns a personalised report AI Build uses to inform a programme of work. Full scoring rules are on the methodology page.

In brief

The AI Build AI Maturity Assessment scores six dimensions — strategy/leadership, people, process, governance, continuous improvement, and transformation — in about five minutes. It is for operations, IT, and leadership teams who need a named baseline before funding rollout. You receive a Word/PDF report with band, scorecard, and a 90-day roadmap. Interpret the score as a planning indicator, not a certification; AI Build uses it to decide whether the next step is governance, ChatGPT Business, training, or workflow work. Method: methodology v1.1.

What the maturity bands mean
Band	Score range	What it indicates
Initial	0–20%	AI use is informal or limited to individuals. Foundations for repeatable, governed workflows are not yet in place.
Emerging	21–40%	Some teams are finding value, but adoption remains inconsistent. Successful practices are not routinely standardised or scaled.
Defined	41–60%	Approved patterns and processes are emerging. Leadership, skills and controls are becoming coordinated, though outcomes may still be uneven.
Measured	61–80%	Controlled workflows are in use with measurable operational effects. Governance and improvement loops are active for priority areas.
Embedded	81–100%	AI-supported workflows are a repeatable, governed part of how the organisation operates, with accountable people retaining important decisions.

Written by Tim Savigar — Founder & Lead Architect

Reviewed by AI Build Group — Editorial review

Published Updated 21 August 2026 · method + scoring model

Method & provenance

Scores cover strategy, people, process, governance, continuous improvement, and transformation on a published band scale. Until ten anonymised results exist, the public comparison dial uses a UK SME research estimate with outbound citations to ONS, British Chambers of Commerce, and OECD (see benchmark sources below). We do not claim a 1,500-organisation scored benchmark. Reassess after major rollouts so the score is a longitudinal baseline, not a one-off quiz. Full instrument: methodology v1.1.

How a UK company can assess AI maturity (v1.1 mapping)
Theme	Scored dimension
Strategy / leadership	Leadership (vision, sponsored outcomes, investment)
People	People (skills, champions, manager support)
Governance	Governance (approved tools, data, review gates)
Data	Governance + process (data classes, logging, source ownership)
Technology	Process + transformation (approved platforms and integrations)
Adoption	People + continuous improvement (weekly use, not licences)
Opportunity identification	Process (named jobs with owners and metrics)
Measurement	Continuous improvement + transformation (baselines and 90-day review)

Direct answer

An AI maturity assessment should show where an organisation is today, where the material gaps are and what to do next. AI Build's assessment examines governance, leadership, people, process, continuous improvement and business transformation, then turns the findings into a prioritised report rather than a generic AI score. See [published AI maturity methodology](/ai-maturity-assessment/methodology). See [AI governance consulting](/consulting/ai-governance). See [ChatGPT Business rollout](/chatgpt-business). See [AI training](/training).

Evidence and sources

The assessment is intended as a management diagnostic, not an accreditation. Responses are scored against the published methodology, evidence is interpreted in context, and the output should separate current capability from recommended action. Benchmark claims should only be published when the underlying sample is large enough to support them; methodology, assumptions and limitations should remain visible so buyers can judge the result rather than relying on a black-box score.

Who delivers this

AI Build Group Ltd operates the assessment as part of its wider AI transformation work. The result can be used to prioritise governance, rollout, training, automation and product work, but it does not certify regulatory compliance and should not be presented as an external accreditation. A public directory/provenance record is available at https://ai-trustmark.org/providers/ai-build-group/ai-build-ai-maturity-assessment. AI TrustMark is a related organisation operated alongside AI Build Group; supplier-provided statements there are not certification and verified items are labelled separately.

AI Build — About

Direct answers

AI maturity assessment answers

What is an AI maturity assessment?: An AI maturity assessment scores how far AI has moved from isolated experiments to repeatable, governed capability across strategy, people, process, governance, improvement, and transformation. AI Build Group’s free online assessment takes about five minutes and produces a personalised report with a 90-day roadmap.
How is AI maturity different from AI readiness?: AI readiness asks whether foundations exist — budget, sponsor, basic tooling, and permission to start. AI maturity asks whether AI is already a repeatable, governed capability with owners, controls, and measurable outcomes. You can be ready and still immature; licences and prompt counts prove neither on their own.
What should a 90-day AI roadmap for a UK SME include?: Days 0–30: ownership, constrained pilot workflows, controls, and baselines. Days 31–60: controlled pilots with exception logging and output review. Days 61–90: compare outcomes to baseline, then approve, amend, or stop each workflow before standardising. AI Build Group’s assessment report drafts that sequence from your scores.
Who should take the AI maturity assessment?: Operations, IT, transformation, or programme leaders evaluating the next credible AI step — not only data scientists. The report is written for executives who need a score, category breakdown, and practical next actions rather than a generic maturity buzzword deck.
What population can I benchmark against?: AI Build Group’s maturity assessment is built so organisations can compare against a CRM panel of 2,000+ companies in Orderbook (verified 26 August 2026). That figure is a comparison population, not a count of completed assessments. Live scored averages replace the research-led UK estimate once ten anonymised assessment results exist, with n and date range published on the methodology page.
How can a UK company assess its AI maturity?: Score strategy, leadership, people, governance, data, technology, adoption, opportunity identification, and measurement with a dated instrument. AI Build Group’s free assessment uses twenty evidence-led questions across six published dimensions (leadership, people, process, governance, improvement, transformation) that map to those themes, then returns a band, scorecard, and 90-day roadmap.
What scoring model does the AI Build maturity assessment use?: Version 1.1 scores twenty questions from 0 to 4 against published category maxima. Bands run from Initial to Embedded. The result is a planning indicator, not a certification. Limitations, sample questions, and version history are on the methodology page so the method is useful even before you complete the questionnaire.

AI readiness vs AI maturity

Readiness asks whether the foundations exist. Maturity asks whether AI has become a repeatable, governed and measurable part of how the organisation operates. Buying licences or counting prompts does not demonstrate maturity. The goal is controlled workflows tied to business outcomes, with accountable people retaining professional, commercial, regulatory and release decisions.

Question	AI readiness	AI maturity
Primary ask	Can we start safely?	Is AI already a governed capability?
Typical signals	Sponsor, budget, tooling access	Owners, controls, measured workflows
Common false proof	Licences purchased	Prompt volume or seat count
Next useful output	Permission to pilot	90-day roadmap from evidence

Isolated individual assistance
Approved team use
Controlled workflows
Measured operational outcomes
Reusable organisation-wide capability

What the assessment measures

Twenty questions across six dimensions. Each answer uses a 0–4 scale. Category maxima total 80 points. Full scoring methodology, benchmark rules, and version history are published on the AI Build UK SME AI Maturity Index methodology.

4 questions · max 16
Leadership and strategy
Direction, sponsorship, prioritisation and alignment with business objectives.
3 questions · max 12
People and skills
Role-based capability, approved use and retention of accountable human judgement.
4 questions · max 16
Process maturity
Documented processes, standard work, inputs, hand-offs, exceptions and approval points.
4 questions · max 16
Governance and control
Approved sources, confidentiality, traceability, validation and controlled release.
3 questions · max 12
Continuous improvement
How employee-created ideas are captured, evaluated, piloted, standardised and scaled.
2 questions · max 8
Business transformation
Whether AI adoption is measured through workflow and business outcomes rather than tool activity.

How the assessment works — visual overview

AI maturity ladder from initial isolated use through embedded organisation-wide capability — Maturity progression — from isolated assistance to embedded, governed capability.

Six AI maturity assessment dimensions scored on a 0–4 scale — Assessment dimensions — strategy, people, process, governance, improvement, and transformation.

Flow from AI maturity assessment scores to personalised report and 90-day implementation roadmap — Assessment → scored report → 90-day roadmap — the default output sequence.

Loading assessment…

What the participant receives

After you submit, we generate a personalised Word assessment in OfficeMaker and email you the PDF. The report separates scored answers from website-derived context. Trade bodies that issued a member URL can receive results filtered by that trade body ref for publication. The assessment is directional: it is not an audit or certification.

Overall maturity result and band
Category-by-category scorecard
Explanation of the evidence behind each score
Strengths and constraints
Company-specific workflow opportunities
Priority findings and governance considerations
Practical 90-day roadmap
Next maturity objective and reassessment baseline

Recommendations suggest opportunities for controlled pilots. They do not promise savings without a validated pilot.

Example workflow opportunities

Recommendations are tailored to your responses and company context. Safe examples of where AI often supports information handling, drafting, comparison and preparation include:

· Enquiry, quotation and proposal preparation
· Project documentation and customer reporting
· Quality and compliance reporting
· Meeting and action summaries
· Policy and procedure maintenance
· Controlled document generation
· Employee improvement-idea capture and scaling

Maturity progression

The objective is not necessarily to maximise every score immediately. Improve the areas that constrain your most valuable controlled workflows.

0–20%
Initial
AI use is informal or limited to individuals. Foundations for repeatable, governed workflows are not yet in place.
21–40%
Emerging
Some teams are finding value, but adoption remains inconsistent. Successful practices are not routinely standardised or scaled.
41–60%
Defined
Approved patterns and processes are emerging. Leadership, skills and controls are becoming coordinated, though outcomes may still be uneven.
61–80%
Measured
Controlled workflows are in use with measurable operational effects. Governance and improvement loops are active for priority areas.
81–100%
Embedded
AI-supported workflows are a repeatable, governed part of how the organisation operates, with accountable people retaining important decisions.

Initial → Emerging → Defined → Measured → Embedded

90-day AI roadmap for UK SMEs

After the assessment, leadership needs a funded sequence — not a vague transformation programme. This 90-day AI roadmap is the default shape of the personalised report: prove one or two controlled workflows before scaling seats or connectors.

Days 0–30

Confirm ownership, select constrained workflows, document the process and define controls and baseline measures.

Days 31–60

Run controlled pilots, capture exceptions, review outputs and measure operational effects.

Days 61–90

Compare outcomes with the baseline, then approve, amend or stop each workflow. Standardise only demonstrated successes.

Benchmarking and reassessment

The assessment is the foundation of AI Build Group’s AI Maturity Benchmarking Club. Participants can reassess after ninety days or another sensible interval. The report compares the organisation with its own previous result when historical data exists. Anonymised aggregate benchmarking may be added when the dataset is large and representative enough.

Maturity bands above are illustrative score ranges, not published industry averages. Real peer placement is only shown when genuine anonymised comparison data exists.

Review your results with AI Build Group

Book a management review to validate the findings, select the first controlled workflow and agree what should happen during the next ninety days. Relevant follow-on work may include AI strategy and workflow consulting, ChatGPT for Business, OfficeMaker, HCL Domino Assistant, SAVI.education training or tailored workflow automation — only where your evidence supports it.

Book a management review

Frequently asked questions

What is an AI maturity assessment?

An AI maturity assessment measures how far an organisation has progressed from informal individual AI use to governed, repeatable and measurable AI-supported workflows. AI Build Group’s online assessment scores twenty evidence-led questions across six dimensions and produces a personalised management report.

What is the difference between AI readiness and AI maturity?

AI readiness asks whether foundations exist to adopt AI safely — sponsor, budget, basic tooling, and permission to start. AI maturity asks whether AI is already a repeatable, governed, measurable capability with owners and controlled workflows. An organisation can be ready and still immature; seat counts and prompt volume prove neither on their own.

What does a 90-day AI roadmap for a UK SME include?

A practical 90-day AI roadmap sequences ownership and baselines (days 0–30), controlled pilots with review gates (days 31–60), and decide-to-standardise outcomes against those baselines (days 61–90). AI Build Group’s assessment report drafts that roadmap from your maturity scores so leadership can fund the next controlled workflow rather than a vague transformation programme.

How is the score calculated?

Each of the twenty questions is scored from 0 to 4. Category totals use fixed maxima (Leadership 16, People 12, Process 16, Governance 16, Continuous improvement 12, Business transformation 8). The overall score is out of 80 and is also shown as a percentage band from Initial to Embedded.

What information do I need to provide?

After the questions you provide your name, work email, organisation, role, company website and company size, plus consent to receive the assessment report. You can review and correct core company details before submission.

How is my company website used?

We use your public website to make the report more relevant to your sector, operations and likely workflow opportunities. Website-derived context is indicative and is kept separate from your assessment responses. It does not independently verify internal company operations.

What will my report contain?

Your personalised report explaining the evidence behind each score includes your overall maturity result, category scorecard, strengths and constraints, company-specific workflow opportunities, priority findings, governance considerations, a 90-day roadmap and a baseline for reassessment.

Is this an audit or certification?

No. The automated report is directional management guidance based on your responses and public website context. It is not an independent audit, regulatory opinion or certification.

How long does the assessment take?

Most respondents complete the twenty questions in about three to five minutes, then a short lead form to request the report.

Can we retake the assessment?

Yes. Retaking after roughly ninety days or another sensible interval creates a baseline comparison. You can also opt in to the AI Maturity Benchmarking Club when requesting your report so anonymised scores contribute to cohort averages and reassessment invites.

How will benchmarking work?

You can compare against a CRM panel of 2,000+ companies in AI Build’s Orderbook (operator-verified 26 August 2026). That panel is the comparison population — not 2,000 scored assessments. Immediate dials still show an indicative UK average from published SME research with outbound citations to ONS, British Chambers of Commerce, and OECD on this page (and the methodology page) until ten anonymised assessment results exist; thereafter the dial uses the live scored cohort average with n and date range shown.

What happens after we receive the report?

You can book a management review with AI Build Group to validate findings, select the first controlled workflow and agree what should happen during the next ninety days. Product or training recommendations only follow where your evidence and company context support them.

Does it cover governance and data protection?

Yes. Governance and control is one of the six scored dimensions, covering approved use, confidentiality, traceability, validation and controlled release. The assessment does not replace legal advice or a formal compliance review.

Is it suitable for SMEs?

Yes. The model is designed for UK SMEs and mid-market organisations that want a practical view of maturity without treating licence counts or prompt volume as proof of capability.

Does a low score mean we should stop using AI?

No. A lower score usually means AI use is still informal. The objective is to improve the areas that constrain your most valuable controlled workflows, not to maximise every score immediately or to stop useful experimentation under appropriate controls.

Looking for a facilitated consulting engagement after the online assessment? See AI consulting. The automated assessment itself is not a two-week delivery programme.

UK benchmark research sources

The assessment is designed so organisations can benchmark against a CRM panel of 2,000+ companies in AI Build Orderbook (verified 26 August 2026). That is a comparison population, not 2,000 scored results. Until ten anonymised club results exist, the public dial uses a research-led UK SME estimate with outbound citations below. Live scored-cohort methodology is documented on the maturity index methodology page.

How AI Build uses the assessment

The online assessment is the diagnostic, not the delivery. AI Build Group reads the band, category constraints, and named workflows to recommend a programme of work — typically AI governance, ChatGPT Business rollout, role-based training, or a controlled OfficeMaker / assistant pilot. Recommendations stay tied to your evidence; we do not attach products the scorecard does not support.

Scoring rules, limitations, and version history are published on the AI Build UK SME AI Maturity Index methodology page so boards and retrieval systems can cite the method independently of the questionnaire.

Original data · awaiting sample

AI Build AI Maturity Benchmark

When enough anonymised results exist, this panel will publish aggregate maturity bands and shadow-AI prevalence with sample size, collection period, and method notes. Until then, no headline percentage is shown.

Results are not published yet. This component is reserved for anonymised aggregate figures once n reaches 30. Current sample: 0.

Sample size: 0 completed (minimum to publish: 30)
Collection period: 2026-06-01 to 2026-09-21
Last updated: 2026-09-21
Scope / population: UK organisations completing the free AI Build AI Maturity Assessment. Self-selected assessment respondents (typically SME and mid-market operations, IT, and leadership roles).
Anonymisation: Completed assessments are counted without organisation names or individual respondents.
Sector: Not yet published
Maturity score: Not yet published
Dimension results: Not yet published

Planned metrics — values appear only after the sample threshold
Metric	Published result
Respondents naming unmanaged ChatGPT / shadow AI as a primary constraint	Not yet published
Median overall maturity score	Not yet published
Share in Initial or Emerging governance band	Not yet published

Methodology: Anonymised aggregate of completed AI Maturity Assessment responses. Counts completed assessments only — not verified IT telemetry or a nationally representative sample.

Source / provenance: AI Build Group Ltd — first-party assessment responses, anonymised before aggregation.

Self-selected online assessment cohort — not a nationally representative sample.
Single-instrument scores — not a full shadow-AI inventory or audit.
Do not publish a headline percentage until n ≥ 30 completed assessments in the window.

Scoring rules live on the AI Maturity Assessment methodology page.

Cite the AI Build AI Maturity Benchmark methodology for sample rules. Quantitative findings stay unpublished until n reaches 30.

Supporting pages

AI maturity assessment by sector and function

These pages support narrower long-tail intent. Broad commercial queries should keep ranking on the AI maturity assessment hub.

By sector

By function

How we work

Your path from assessment to support

Independent UK advice — not a single-vendor slide deck. Every engagement follows the same credible sequence: diagnose, prioritise, pilot with evidence, implement inside governed tools, then train and measure adoption.

01 · Assessment
Interactive maturity bands, category scorecard, and personalised report.
You are here
02 · Prioritised roadmap
Discovery call and scoped 90-day plan with named owners and review gates.
Prioritised roadmap →
03 · Priority workflow pilot
One high-friction workflow with measurable before/after baseline.
Priority workflow pilot →
04 · Programme delivery
Governance, ChatGPT Business, or automation path from the roadmap.
Programme delivery →
05 · Training & support
Role-based adoption, webinars, and corporate programmes with 30/60/90 checks.
Training & support →

Related capability

Continue along the governed AI path

AI Build grows authority from OpenAI / ChatGPT Business outward — governance, maturity, assistants, and Microsoft 365 automation share the same delivery evidence.