AI Readiness Assessment for UK SMEs

In short

A scored, honest assessment of your SME’s AI readiness across five dimensions: Strategy, Data, People, Process, Tools. Score 1–100. Part of the Readiness Audit deliverable: £2,450, 5 days.

The five dimensions

1. Strategy: Written AI strategy signed by founder/MD? Tied to commercial outcomes?
2. Data: Where does data live? AI-ready or trapped in spreadsheets/PDFs/paper?
3. People: Skills, attitude, training history. AI-curious or AI-anxious team?
4. Process: Documented workflows? SOPs repeatable enough to teach an AI agent?
5. Tools: What’s the team already paying for? Where are the AI-shaped gaps?

Each dimension scored 1–20. Combined to single Readiness Index out of 100.

Why scored, not narrative

A scored assessment is comparable over time (re-audit in 6 months, see progress) and across competitors (industry benchmarks exist). Narrative assessments are useful but don’t measure improvement.

What each dimension actually measures

The score is not opinion-based. Each dimension has a written scoring rubric that produces the same result regardless of who runs the assessment, which is what makes the index honest.

Strategy

The questions: Is there a written AI strategy with named owners and budget? Does it tie to commercial outcomes the business actually tracks? Is it reviewed quarterly or has it ossified? Does the leadership team know it exists?

Most SMEs score 4 to 10 out of 20 on this dimension at first audit. The common pattern is verbal intent without a written document, or a written document signed off two years ago that nobody has reread. A score of 15 or above implies a living document with quarterly review and clear ownership.

Data

The questions: Where does customer, transaction and operational data live? How many systems hold the same entity? What share of data is in queryable form (database or warehouse) versus trapped (spreadsheets, PDFs, paper, single-vendor closed formats)? How clean is the data on the fields that matter?

Most SMEs score 6 to 12. The common pattern is data scattered across three to six systems, partially reconciled, with substantial duplication and some trapped formats. A score of 15 or above implies one source of truth per entity, accessible via API, with documented field hygiene.

People

The questions: How AI-literate is the team? How is sentiment toward AI (curious, anxious, sceptical, resistant)? What training has happened and what stuck? Is there a named internal owner for AI work? How does the leadership team behave around AI experimentation?

Most SMEs score 7 to 13. Modal sentiment is “curious but cautious”, with one or two enthusiasts and one or two sceptics. A score of 15 or above implies broad team confidence, recent training that landed, and visible leadership engagement.

Process

The questions: Are the workflows that AI might touch documented in any form? Could a new employee follow the SOP and produce the right output? Is the workflow consistent across instances or does every case feel bespoke?

Most SMEs score 5 to 11. The common pattern is partial documentation, tribal knowledge filling the gaps, and inconsistent handling between team members. A score of 15 or above implies documented SOPs that are kept current, with measurable consistency.

Tools

The questions: What does the existing technology stack look like? Where are the AI-shaped gaps that current tools do not cover? What is the team paying for and using vs. paying for and ignoring? Are integrations between tools strong enough to support automation?

Most SMEs score 7 to 13. The common pattern is a stack that grew organically, with two or three tools doing 80 percent of the work and the rest underused. A score of 15 or above implies a coherent stack with documented integrations and current vendor relationships.

The composite Readiness Index

The five dimension scores combine to a single Readiness Index out of 100. The index is not a pass-or-fail. It is a starting position.

• Below 35. Foundation work first. AI investment now will struggle. The recommendation is data, process and team work for two to four quarters before commissioning a build.
• 35 to 60. Modal SME starting point. Ready in patches. The recommendation is usually one tightly-scoped Quick Win that demonstrates value while addressing the weakest dimension.
• 60 to 80. Genuinely ready. The recommendation moves to the use case identification and the first Sprint.
• Above 80. Mature. The recommendation is usually to sustain pace rather than accelerate, often through a Fractional CAIO engagement that maintains the discipline.

What the score does not measure

The score does not measure ambition, willingness, or speed of execution. Two SMEs with the same score can move at very different speeds depending on leadership conviction. A score of 55 with a determined founder can outpace a score of 75 with a leadership team that is curious but distracted.

The score also does not measure sector-specific regulatory drag. A law firm with a strong Readiness Index still operates inside SRA rules; an accountancy practice inside ICAEW guidance; a financial services SME inside FCA expectations. The assessment notes the regulatory perimeter in the readout, but does not collapse it into the score.

How the assessment is delivered

The assessment is the first deliverable inside the AI Readiness Audit. Five days, £2,450. The shape is:

• Day one. Kick-off interview with the founder or MD plus two or three function heads. 90 minutes total. The interview captures the strategic context, the current AI activity, and the perceived pain points.
• Days two and three. Document review and system access. Light read access to the CRM, accounting tool, document store, and sample workflows. Around 4 hours of team time spread across the two days, mostly answering follow-up questions.
• Day four. Scoring and drafting. The five dimensions get scored against the rubric. The dimension breakdown is written up with reasoning and recommendations.
• Day five. Readout meeting. 60 to 90 minutes with the founder and key attendees. The scored assessment is shared, the recommendations discussed, and the next steps identified.

The assessment sits inside the wider Audit, which also includes the use case identification, governance posture review, and funding-eligibility check. Fifty percent of the audit fee (£1,225) is credited against any subsequent Wingenious engagement booked within 60 days.

Re-scoring over time

The assessment is built to be re-run. The typical pattern is an initial assessment, a year of active AI work, and a re-score 12 months later that lands 15 to 30 points higher. The re-score is useful for board reporting, for tracking progress on the dimensions that needed work, and for surfacing new gaps that emerged as the AI estate grew.

Re-scoring once the original framework exists costs £1,400 as a standalone. Fractional CAIO clients get re-scoring included.

What the readout meeting feels like

The final hour of the audit is the readout meeting. The shape is consistent across every engagement and matters because it is where the leadership team’s understanding actually shifts.

Three things happen in the meeting. First, the scored assessment gets walked through dimension by dimension, with the reasoning behind each score made explicit. The leadership team can challenge any score; the scoring rubric supports the challenge with evidence. Second, the use case identification output gets presented: the five ranked candidates with the reasoning. The leadership team agrees or disagrees with the ranking; either way the dissent gets recorded. Third, the recommended next move is named: the build to commission, the precursor to address, or the training to schedule.

The meeting is not a sales pitch for further Wingenious work. About 30 percent of audits do not lead to a paid follow-on engagement, either because the SME decides to execute internally or because the recommendation points to a precursor that the SME addresses without external help. The audit fee earns its keep regardless of what happens next.

Why scoring matters more than narrative

A narrative assessment is easier to write and easier to read. It is also harder to argue with, because the language slips. A score forces the conversation to specifics: why did Strategy land at 8 rather than 12; what evidence supports that score; what would have to change for it to be 12.

The scoring also makes year-on-year comparison meaningful. A leadership team that gets a 52 in 2026 and a 71 in 2027 has a concrete story to tell about progress. The dimension breakdown shows where the progress came from and where work remains. Narrative assessments cannot produce this kind of comparable record.

Sector overlays on the scoring

The five dimensions stay the same across sectors; the specific evidence that supports each score adapts.

• Law firms. Strategy dimension considers regulatory engagement (SRA stance on AI), Data dimension considers matter-level confidentiality, People dimension considers professional supervision arrangements.
• Accountancy practices. Process dimension considers working-paper discipline, Tools dimension considers practice management integration, Strategy dimension considers ICAEW guidance posture.
• Manufacturers. Data dimension considers shop-floor data accessibility, Process dimension considers SOP documentation depth, Tools dimension considers ERP integration breadth.
• Ecommerce. Data dimension considers transactional data quality, Tools dimension considers marketing stack maturity, People dimension considers the merchandising team’s technical comfort.

The sector-specific calibration adjusts what counts as evidence for each score; the underlying rubric is consistent.

What the dimension breakdown enables

The composite Readiness Index is useful for board reporting. The dimension breakdown is what produces actionable recommendations.

An SME scoring 65 overall might be 18 on Strategy, 13 on Data, 11 on People, 9 on Process and 14 on Tools. The composite says “ready in patches”. The breakdown says the bottleneck is Process, with People not far behind. The recommendation for the next quarter focuses on process documentation and team training, not on commissioning a new build.

A different SME scoring the same 65 might be 12 on Strategy, 17 on Data, 16 on People, 13 on Process and 7 on Tools. The composite is the same; the bottleneck is completely different. The recommendation focuses on consolidating the tools stack before the next build, not on training or documentation.

The composite tells the board “this is a starting position”. The breakdown tells the leadership team “this is where to act first”. Both views are produced and both go into the readout.

Related capabilities

AI strategy development · AI use case identification · AI governance models · Data cleaning

Related

Sectors where readiness assessment matters most: law firms, construction, manufacturing.