Single-team assessment
Best for
One department with a clear repeated workflow and a decision to make.
Typical output
Scorecard, use-case register and a named first pilot. From £3,000 excluding VAT.
AI readiness assessment
Find out whether AI is worth applying here, before you commission a build.
A structured assessment of your processes, data, capability and governance position, scored against a method you keep and can re-run. The output is a decision you can defend, including the decision not to proceed.
Working method
From uncertainty to a decision you can defend
Engagement options
Start at the smallest level that can answer the decision
The scope is agreed around the workflow, people, systems and evidence required. You do not need to commit to a large programme before a focused diagnostic or pilot has earned it.
Readiness plus AI visibility
Best for
Organisations that also need to know how AI assistants currently represent them.
Typical output
The above, plus an AI visibility baseline and a source-authority plan. From £4,500 excluding VAT.
Multi-team assessment
Best for
Several functions where the priority between them is genuinely unclear.
Typical output
Comparative scoring across teams, plus a sequenced roadmap. From £5,500 excluding VAT.
Regulated or sensitive-data assessment
Best for
Organisations where confidentiality or regulatory exposure drives the answer.
Typical output
The above, plus a constraints register and a governance requirement set. From £7,500 excluding VAT.
Evidence standard: The fee is fixed and agreed in writing before the work starts. Every scored opportunity is tied to a named process, a named owner and a measure that would show whether it worked. Where the honest answer is that the data, the ownership or the capability is not yet in place, the report says so rather than recommending a pilot that cannot succeed.
Founder-led and grounded in the room
The questions people actually ask shape the session.
Jon works directly with the team, using its roles, documents and live challenges to make the material useful beyond the workshop.
The aim is not tool excitement. It is a shared method people can repeat, review and improve once they are back at work.
Built around real work
A useful programme, not a generic tool tour
The exact examples change by team, but the programme is grounded in the following practical areas.
Process and opportunity mapping
Interviews and workflow review across the teams that carry the repeated work.
- Repeated tasks, documents, decisions and handovers
- Current tools, accounts and licence position
- Where delay, rework and inconsistency actually occur
Data and confidentiality review
What the organisation holds, who may use it and under what conditions.
- Data quality, location, ownership and access
- Personal, regulated and commercially sensitive material
- Retention, residency and third-party processing constraints
Capability and adoption assessment
Whether the people involved can carry the change once the tooling exists.
- Current confidence and practice by role
- Named owners, reviewers and escalation routes
- Realistic barriers to adoption in this organisation
AI visibility position
How the organisation is currently described, cited or omitted by AI assistants.
- Whether assistants can find and correctly describe you
- Which sources they draw on when they do
- Where competitors are cited and you are not
How the engagement works
- 1
Scope and access
Agree the teams, processes and systems in scope, and what evidence can be shared.
- 2
Interviews and review
Structured conversations with the people doing the work, alongside a review of documents, tools and data.
- 3
Scoring and prioritisation
Score each candidate opportunity against value, feasibility, risk and adoption effort using a method you keep.
- 4
Report and decision session
A written assessment and a working session where the leadership team chooses the first pilot, or decides not to proceed.
What you take away
- Written AI readiness assessment with a scorecard you can re-run later
- Prioritised use-case register with value, feasibility, risk and adoption scoring
- Data, confidentiality and governance constraints register
- AI visibility baseline showing how assistants currently describe the organisation
- 90-day roadmap with named owners and decision points
- Scope for a first pilot, including the measure that would justify continuing
Read before you decide
What does UK AI consultancy actually cost?
A sourced benchmark of published UK AI consultancy, readiness and implementation pricing, including which providers publish figures and which do not.
Read the practical guideNeed ongoing learning rather than a private team engagement? Explore Jon’s AI Essentials learning pathway in a new tab.
Questions teams ask
What is an AI readiness audit?
A structured assessment of whether an organisation can apply AI to its real work safely and usefully. It covers the processes that could benefit, the data and confidentiality constraints that limit what is possible, the capability of the people involved, and the governance needed before anything is deployed. The output is a decision, not a demonstration.
How much does an AI readiness assessment cost?
Ours start at £3,000 excluding VAT for a single team, rising to £7,500 for regulated or sensitive-data work, and the full breakdown is on our pricing page. Across the wider UK market, published fixed-fee assessments run from around £1,000 for a single department to £8,000 for organisation-wide work, while several suppliers on the Government G-Cloud framework price readiness by the day instead. Our sourced benchmark sets out those figures with the caveats each one carries.
How is this different from an AI strategy workshop?
A workshop generates ideas and shared understanding in a room. A readiness audit tests those ideas against the organisation’s actual data, constraints, capability and governance position, and scores them. A workshop is a good way to start when nobody agrees on the problem. An audit is what you need before committing budget.
What if the assessment says we are not ready?
That is a legitimate and useful result. It is considerably cheaper to learn that the data is not in a usable state, or that no owner exists for the workflow, before commissioning a build rather than during one. The report will name what would need to change first.
Why does an AI readiness audit look at AI search visibility?
Because AI assistants are increasingly how buyers, candidates and journalists first encounter an organisation. If assistants cannot find you, describe you incorrectly, or cite a competitor in your place, that is a commercial exposure created by AI whether or not you ever deploy it internally. Most readiness assessments do not look at it at all.
Who needs to be involved?
The people who actually do the repeated work, plus whoever owns the data and whoever can authorise a change to the process. Assessments that only involve leadership tend to produce a roadmap nobody can carry out.
Related support
Continue with the page that matches the next decision
AI consultancy and implementation
Once the assessment names a pilot, this is the engagement that builds and embeds it.
Explore this serviceAI governance training
Where the assessment surfaces confidentiality or accountability gaps, this addresses them with the people involved.
Explore this serviceAI search visibility
The external half of readiness: whether AI assistants can find, describe and cite your organisation correctly.
Explore this servicePublished pricing
What each assessment scope costs, what is included, and how it compares with the rest of the published UK market.
Explore this serviceFind out where AI is actually worth applying
Tell us about the team, the workflow and what has prompted the conversation. We will recommend a proportionate first step.
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