AI Readiness Audit

Where AI delivers value across product, process, operations and delivery, and where it does not.

Start here
Rung
01 · Way in
Duration
6–8 weeks
Investment
£30k–£90k fixed price
Who turns up
A senior operator alongside James Rooney, who leads every audit personally, with specialist input where the frontier test needs it.
How it endsFixed price, fixed deliverable
What this costs, and where the number comes from
£30k–£90k fixed price. Derived from the published rate card at 20 billable days a month.
check the arithmetic →
Is there a build engineer
No standing build team: this is an assessment. James Rooney leads every audit personally at the published partner rate of £1,560 a day, and where the frontier test in weeks three to five needs an engineer, that person is an associate he has already delivered alongside, at the published senior rate of £1,250.
The exit, in detail
On a date, with a fixed-price deliverable: the board readout and the costed plan. Nothing rolls on.
Assurance
James Rooney provides partner oversight on every engagement, and leads the audits personally. The people on your engagement are not substituted without your written agreement.

Large consultancies typically price an equivalent assessment at £150k–£500k, our estimate rather than a published figure. How the comparison works. Access, data handling and screening are on the security page.

On this page
In one paragraph

The AI Readiness Audit is a fixed-price, 6–8 week assessment of exactly where AI will and will not create value across four areas of your organisation: the product your customers touch, the internal processes that run the business, your operations, and the software development process itself. You get a costed, outcome-driven plan in three-month increments, capped at twelve months, built by operators who embed with your teams and examine real workflows, not survey responses. It costs between £30,000 and £90,000 depending on organisation size, and it is one of two ways most clients start.

Month one of our live specialty insurance engagement was an audit run this way, inside the estate rather than as a readout exercise, and it is written up in full. Read the month-one write-up

Deliverables

What you get

In scope for the £30k–£90k fixed price.

  • Heat-map across all four domains: external product, internal process, operations, and the software development process itself, ranked by return and feasibility
  • Where AI is constrained here: data quality, risk appetite, regulation
  • What your engineering organisation would gain from AI-native delivery, measured against how it ships today rather than against a vendor benchmark
  • Where your workforce is ready, and where it demonstrably is not
  • Where culture and incentives will block adoption, and the specific unblocks
  • A costed, outcome-driven plan in three-month increments, capped at twelve months
  • An estimated run cost per candidate workflow, so you know the operating cost before you commit to it
  • The investment case, written so your board can act on it
The deliverable

What the board readout contains

Seven sections, in this order. What each one says depends on what six weeks inside your organisation finds.

  1. 01

    Heat map by domain and workflow

    Every candidate workflow examined across the four domains, external product, internal process, operations and the software development process, ranked by expected return against feasibility, with the evidence behind each placement named rather than scored out of five. Domains are ranked against each other as well as within themselves, because the question a board asks first is which of the four to fund.

  2. 02

    Constraint register

    Where AI is blocked here: data quality and availability, risk appetite, regulatory position, and which constraints are permanent against which are a piece of work with a cost attached.

  3. 03

    Decision inventory

    Which decisions in the workflows examined could move to an agent, which must stay with a person, and the consequence and reversibility test behind each answer.

  4. 04

    Workforce readiness read

    Where your people are ready and where they demonstrably are not, by function, alongside where culture and incentives will block adoption and the specific unblocks.

  5. 05

    Outcome-driven plan in three-month increments, costed, max twelve months

    What to do first, second and third, with build cost and estimated run cost per workflow, dependencies, and the decision points where the plan should be re-tested.

  6. 06

    The investment case

    The value stated in currency with the assumptions exposed, the confidence attached to each figure, and the arithmetic laid out so your finance function can rework it with their own numbers.

  7. 07

    The do-not-do list

    What is not worth doing here and why, including where the recommendation is to stop. Clients tell us this is usually the most valuable page.

There are no sample findings on this page: a worked heat map with plausible rows in it would be an invented result for an organisation we have not audited.

The sequence

How the engagement runs, week by week

6–8 weeks, drawn to scale so you can see how long each part actually takes.

  1. 01
    Weeks 1–2

    Embed and observe, across all four domains. We sit with the teams doing the work and trace real workflows end to end in the product your customers touch, the internal processes that run the business, your operations, and your own software development process, and we pull the delivery data rather than relying on what the org chart claims happens. Covering delivery is not a courtesy to the engineering function: it is usually the domain with the shortest path from a decision to a measurable result, because it is the one place the organisation already instruments itself. This is also where the inventory gets built: which AI tools are genuinely in use across the business, sanctioned or not, what each was bought to do, where two of them cover the same job, and which workflows have quietly come to depend on something nobody in the centre knows about.

  2. 02
    Weeks 3–5

    Test the frontier. Two or three candidate workflows are prototyped against your real data, inside your own tenancy, rather than demonstrated on ours. Each one produces a measured accuracy and confidence read, an estimated run cost per unit of work so the ongoing cost is known before anything is committed, and working code you keep whether or not you continue with us. It is the part of the audit that grounds the week-eight sequencing in evidence. How many workflows are tested is agreed in writing before the engagement starts, and it is one of the things that moves the fixed price within the band.

  3. 03
    Weeks 6–7

    Model the operating impact. Which roles change, which decisions move, what governance is required, and what the realistic adoption curve looks like.

  4. 04
    Week 8

    Board readout. A sequenced, costed plan, presented to your leadership, with the assumptions and the risks set out.

Fit test

Is this the right rung for you?

We would rather tell you now than three weeks in.

Right for you if

  • Boards that have asked for an AI plan and received slideware
  • Engineering organisations under pressure to adopt AI in the development process with no measured read on what it is currently worth to them
  • Product teams deciding whether AI belongs in the customer-facing product or only behind it
  • Organisations whose Copilot or Gemini rollout has stalled, with no diagnosis of why
  • Businesses where shadow AI has spread across functions and nobody holds an inventory
  • Estates carrying tool and vendor sprawl: overlapping point solutions bought independently by different functions
  • Executive teams with no shared view of their AI maturity, and a different answer from every function
  • Anyone who needs AI due diligence before an acquisition, an investment or a board review
  • Leadership teams who need a defensible investment case before committing budget
  • Anyone quoted a seven-figure programme who wants to sanity-check the scope first

Not right if

  • Teams looking for a tooling procurement exercise
  • Organisations that have already completed a credible readiness assessment
  • Anyone wanting a rubber stamp on a decision already taken
Is this the right engagement for us?it will say if another one fits better
Describe where you are and I will tell you whether AI Readiness Audit is the right starting point, or which engagement is. If you are not ready for this one, I will say so.

Prefer to talk it through? Ask us on a discovery call →

What you take to the board

A costed, outcome-driven sequence in three-month increments, capped at twelve months. Not a maturity model.

£30k–£90k·6–8 weeks·Rung 01

  • Which of the four domains to fund first, and which to leave alone this year
  • The three things worth doing first, with expected return and confidence
  • The things not worth doing, and why, usually the most valuable page
  • A clear-eyed view of what your organisation cannot yet safely automate
  • A recommendation to stop, where that is what the evidence says, with the plan yours to keep either way

AI Readiness Audit: your questions

What is an AI readiness audit?

An AI readiness audit is a structured assessment of where AI can create measurable value in an organisation, where it is constrained by data, risk or regulation, and whether the workforce and culture are ready to adopt it. Tenhaw's version examines four domains rather than one: the external product a customer touches, the internal processes that run the business, operations, and the software development process itself. It runs 6–8 weeks at a fixed price of £30,000–£90,000 and produces a sequenced, costed plan rather than a maturity score.

What does the audit actually look at?

Four domains, in this order. The external product your customers touch, and whether AI belongs in it or only behind it. The internal processes that run the business, traced end to end rather than taken from a process map. Operations, including the run cost of anything already live. And your own software development process, which is usually the domain with the shortest path from a decision to a measurable result, because it is the one place an organisation already instruments itself. Each is ranked against the others as well as within itself, because the first question a board asks is which one to fund.

How much does an AI readiness assessment cost in the UK?

Tenhaw prices the AI Readiness Audit between £30,000 and £90,000 as a fixed fee, scaled to organisation size and the number of business units in scope. Large consultancies typically price equivalent assessments between £150,000 and £500,000, our estimate rather than a published figure. The fixed price means the scope is agreed before the work starts and does not expand mid-engagement.

Should we start with the audit or a proof of concept?

Start with the audit if the question is where to invest across the organisation and you need a board-ready case. Start with a proof of concept if you already know which workflow you want to attack and the question is whether it can actually be done. Some clients run the proof of concept first because a working thing persuades internal sceptics that a plan does not.

Who from Tenhaw actually does the work?

James Rooney leads every audit personally. Where specialist input is needed, it comes from an associate he has already delivered alongside, screened to BS7858 standard before any client access, and the people on your engagement are not substituted without your written agreement. Tenhaw does not sell work that someone else then delivers, and there is no pyramid of junior consultants.

Should we hire a Head of AI or run an audit first?

A permanent Head of AI search runs six to nine months, and the specification usually gets written from market narrative. The audit takes six to eight weeks at £30,000 to £90,000 and gives whoever you hire a sequenced, costed plan to arrive into rather than a blank page. If you have already made the hire, the audit is the fastest way to give them a defensible first hundred days. It is not a substitute for the permanent role.

What determines whether an audit costs £30k or £90k?

The number of business units in scope, whether prototyping is included, and how many sites or regions require on-the-ground time. A single business unit in one location with no prototyping sits at the bottom of the range; a group-level audit across four business units and three countries with live prototyping sits at the top. The figure is fixed in writing before the engagement starts.

Can the audit sort out the AI tools we have already bought?

It can tell you which of them are earning their keep. Weeks one and two inventory what is actually in use across the business, sanctioned or not, map each tool to the workflows it touches, and show where two or three of them cover the same job. That overlap, and what each costs to run, then sits in the sequenced plan alongside everything else, and consolidation decisions usually land on the do-not-do list. It is an assessment, not a procurement exercise: nothing on the ladder involves us selling you a licence.

Can the audit be used as AI due diligence before an acquisition?

Yes, scoped to the target or to the business unit under review, at the same fixed price over the same six to eight weeks. Two constraints worth raising on the first call: the method works by sitting with the people doing the work, so it needs access to them rather than to a data room alone, and six to eight weeks is longer than some exclusivity periods allow. It is an operational read on what is real, not legal, financial or regulatory due diligence, and it replaces none of those.

Book a call

Talk it through before you commit.

Thirty minutes with James. We will tell you honestly whether AI Readiness Audit is the right rung for where you are, and you will leave with a rough scope whether you engage us or not.

30 minutesWith James personally£30k–£90kNo obligation
Booking about AI Readiness Audit (£30k–£90k · 6–8 weeks)

Calendar not loading? Open it on cal.com or email hello@tenhaw.com.

Can't see the calendar? Open it in a new tab.

Also searched for

What this engagement is called elsewhere

An audit is a piece of work, not a person on your org chart. It is the work a new Head of AI would spend their first quarter doing, which is why it is often bought instead of a search, or just before one.

Head of AI, first quarter

Also advertised as: Head of AI, AI strategy lead, Chief AI Officer, diagnostic phase

The audit does what a newly appointed Head of AI would spend their first three months doing: finding where AI delivers value across the product, the internal processes, the operations and the development process itself, where data quality and risk appetite genuinely stop you, and what to do first. Six to eight weeks at a fixed price instead, and you finish able to write the job specification against evidence rather than against whatever the market is currently saying.

An engagement, not a hire and not a placement

Every role here is supplied as an engagement, not a permanent hire or a staffing agency placement. The person is someone James Rooney has already delivered alongside, screened to BS7858 standard before they touch your estate, contracted by Tenhaw under the same confidentiality and data-handling terms as an employee, and accountable to James Rooney as well as to you. They are not substituted without your written agreement. There is no introduction fee and no permanent-placement conversion clause, and notice is thirty days either way. If what you need is a permanent Head of AI on your own payroll, hire one; an interim holds the seat while you run that search, and writes the specification you recruit against.

How the associate pool is selected and screened is set out on our team page, and the day rates behind every figure here are on the rate card.