AI Readiness Diagnostic
Before you commit budget to AI, find out where it will actually make a difference.
Every leadership team is under pressure to do something on AI. Most are doing it in the wrong order: committing before they've assessed, piloting before they understand readiness, and discovering the problems after the budget is spent.
The AI Readiness Diagnostic gives you a clear, honest picture of where AI can genuinely improve how your organisation works, where it can't, and what your competitors could do if they move first.
The problem with most AI conversations
Most AI conversations in leadership teams are happening at the wrong altitude. Too abstract to be useful, too vendor-driven to be honest, and too disconnected from how the organisation actually runs.
The result is usually one of three things: a pilot that goes nowhere, a tool that gets adopted by a handful of enthusiasts and ignored by everyone else, or a strategy document that looks good and collects dust.
The question isn't whether AI could help your organisation. It almost certainly could, somewhere. The real questions are:
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Where in your operations would AI create the most meaningful improvement?
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Is your organisation actually ready to adopt it, or will the usual change blockers kick in?
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What happens to your competitive position if you wait another 12 months?
That's what this diagnostic is designed to answer.
Recognise any of these?
The board is asking what your AI strategy is. You don't have a confident answer yet
You've started an AI pilot. It's still running six months later with nothing to show.
You're watching competitors move on AI but you're not sure how exposed you actually are.
You know AI could help somewhere in the business. You're just not sure where.
You suspect your people aren't embracing AI. Some may even be quietly resisting it.
AI is costing more than expected. Unsure you've got the right tool, setup, or problem.
Who the diagnosis is for
This diagnostic is right for you if you're a CEO, COO, Chief Transformation Officer, or Operations Director and at least one of the following is true:
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Your board or leadership team is asking what your AI strategy is, and you want a real answer rather than a rushed one
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You've had early conversations about AI pilots but haven't committed yet, and you want to prioritise before you spend
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You've run AI experiments that didn't land, and you're not sure whether the problem was the technology, the readiness, or the implementation
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You're watching competitors move on AI and you want to understand your risk exposure before deciding how to respond
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You know change resistance is a risk but you're not sure how widespread it is, where it's coming from, or how to get ahead of it
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You suspect there are ideas in your organisation about how AI could make a difference, but you're not confident they're reaching the right people
If you've already done a rigorous assessment and have a clear, prioritised AI roadmap in place, you probably don't need this. If you're at the very early stages of even having the conversation internally, start with the free self-assessment.
How it works
Step 1: Survey - up to 15 people, 5 functions, 3 layers
I send a structured survey to a cross-section of your organisation: five business functions, three organisational layers (senior, middle, frontline). This isn't a leadership-only view - the gaps between what the top floor believes and what the frontline is actually experiencing are often the most important finding.
Step 2: AI analysis, interpreted by an experienced eye
Survey responses are analysed using AI to identify patterns, spot gaps between organisational layers, and surface themes that individual answers obscure. That means clustering responses by theme, flagging where different organisational layers see the same issue differently, and picking up patterns across 15 sets of answers that would take days to find manually. I cross-reference the internal data with publicly available information about your market, competitors, and sector.
Then I review and interpret the findings myself. The AI does the pattern recognition. The judgment is mine.
Step 3: 90-minute debrief and written report
I run a 90-minute video debrief with you and up to four or five members of your team. You get a written report with prioritised findings and a clear action plan within 48 hours of the debrief. The report is designed to be acted on immediately, not to sit in a folder.
Optional: Further support (if you want it)
Some clients implement the recommendations internally. If you want help embedding the changes, I can support that as a separate engagement - but the diagnosis is designed to stand on its own.
What the diagnostic delivers
In two to three weeks, you'll have a clear picture across three areas - with specific recommendations, not generalities:
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AI applicability
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Organisational readiness
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Disruption risk
By the end, you'll have:
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A prioritised shortlist of where AI could make a genuine difference in your operations, and where it's unlikely to
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A clear view of what's blocking adoption and what needs to change before you commit
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A realistic assessment of your competitive exposure if you wait
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A written report designed for your board or leadership team, not just a verbal debrief
AI applicability
Where AI could genuinely improve how your organisation works - and where it's unlikely to.
We look at where your operations involve significant repetitive or rules-based work, where outcomes vary too much depending on who's doing the job, where decisions are being made without enough data or speed, and where critical knowledge lives in people's heads rather than accessible systems.
Readiness
Whether your organisation can actually adopt AI - and what would need to be true for it to stick.
The technology is rarely the problem. The blockers are usually data quality, change resistance, unclear decision rights, and a history of pilots that ran out of momentum. We also look at regulatory and legal constraints - some are real and material, others are assumed rather than verified, and knowing which is which matters before you commit.
Disruption risk
What happens to your competitive position if you move slowly - or if a well-funded competitor moves first.
We look at where AI could replicate or erode your current advantages, where new entrants or adjacent competitors are already using AI, and how quickly you could respond if someone made a significant move in your market.
Why ExcellGrowth
I'm an independent founder and adviser with 25 years of experience in strategy, transformation, and operational improvement - who has also been building with AI since it became viable.
That combination matters for this kind of work. Most AI consultants come from a technology background and underestimate the change management challenge. Most transformation consultants haven't built anything with AI and are advising on it from the outside. I've done both from the inside.
If the diagnostic tells me AI isn't the right answer for a particular part of your operations, I'll say so. That's not a failure of the engagement. It's the point of it.
Investment
£2,995 + VAT
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Structured survey deployed to up to 15 people across 5 functions and 3 organisational layers
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AI-powered analysis of responses: pattern recognition, layer gap analysis, cross-referencing with public data
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Expert review and interpretation of all findings
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90-minute video debrief with you and up to 4-5 members of your team
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Written report with prioritised findings and action plan, delivered within 48 hours of the debrief
If the diagnostic surfaces a specific opportunity you want to pursue - a focused AI pilot, a change programme, deeper implementation support - I can scope that separately. There's no pressure to do so.
Common questions
Q: How long does the whole process take?
A: From survey launch to written report, typically two to three weeks. The main variable is how quickly your team completes the survey.
Q: Who needs to be involved from our side?
A: You'll need to nominate up to 15 survey participants from across the business. For the debrief, I'd recommend you plus whoever owns transformation, operations, or technology. Beyond that, it's minimal time commitment from your team.
Q: Will the survey responses be confidential?
A: Individual responses are never directly attributed - the analysis looks at patterns across the group, not individuals. That said, in a 15-person survey with one representative from some functions, it may sometimes be possible to infer who said what. I flag this clearly in the survey introduction so participants can answer with that in mind. The goal is honest responses, not anonymity theatre.
Q: How is this different from an AI strategy consultancy engagement?
A: Strategy consultancies typically come in with a view and build a case for it. This diagnostic starts from your organisation's actual situation - not a framework imported from elsewhere. The output is an honest assessment, not a pre-sold recommendation.
Q: What happens after the diagnostic?
A: The report stands on its own and you can act on it however you choose. If the findings point to a specific change programme or area for deeper work, we can talk about what that looks like. There's no obligation.
Q: Can you help with implementation as well as diagnosis?
A: Yes. If the diagnostic identifies a clear priority, I can scope an implementation engagement. Priced separately on a project basis.