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    The AI Maturity Audit

    What is an AI readiness assessment?

    An AI readiness assessment tells you whether your business can actually absorb AI before you spend a cent building it. It measures how much of your method is written down, how much runs through you, and whether your team can run what comes next.

    Take the audit

    Free. About six minutes. You get your score immediately.

    Why most AI readiness scores are useless

    Most of them ask what tools you own. That tells you nothing. A business with every AI subscription going and no written-down method is less ready than a business with a single ChatGPT seat and a documented process, because the second one has something a system can actually run.

    Readiness is not about the software. It is about whether the thing you do can be described precisely enough for something other than you to do it. That is why this audit measures the business, not the stack.

    What the audit measures

    Five dimensions. Score under 60 on any one of them and it is a blind spot, which means it will cap everything else no matter how good the rest looks.

    01

    IP Codification

    How much of your method lives outside your head? If it is not written down, nothing can run it but you. This is the one that blocks everything else, which is why it is scored first.

    02

    Founder Dependency

    How much does the business lean on you personally? The measure that matters is not hours worked. It is what stops if you go away for a fortnight.

    03

    Team Readiness

    Can the team actually run what comes next? The build is the easy part. Adoption is the hard part, and a system nobody opens is a failed build no matter how good it is.

    04

    AI Maturity

    How far is AI already built into the work? This is the rung you are standing on. It is the dimension the five levels above describe.

    05

    Demand and Proof

    Is the demand proven enough to be worth scaling? Scaling delivery on unproven demand builds a very efficient machine for producing something nobody wants.

    The five levels of AI maturity

    Nearly every business we talk to is on rung two or three, and almost all of them think they are further along. Find the level whose test is true of you today. Not the one you are aiming at.

    Level 1

    Manual

    AI is barely used, and everything still runs through your hands.

    What it looks like
    Maybe someone has a ChatGPT tab open. It touches nothing that ships. The method lives in your head, the delivery lives in your calendar, and the business stops when you do.
    What is capping you
    Your personal capacity. Output is capped by the number of hours you can physically work, and every new client makes that worse.
    The next move
    Pick one task you do every week, that you hate, that does not need your judgement. Get an AI doing the first draft of it. The point is not the time saved. The point is proving to yourself the thing works.

    Level 2

    Experimental

    A few people are having a go, and nobody owns it.

    What it looks like
    Two people love it, one thinks it is a fad, and nobody can tell you what it is actually being used for. Results swing wildly because everyone is doing it differently. There is no standard, so there is no floor.
    What is capping you
    Inconsistency. You cannot rely on any of it, so none of it gets near a client. It stays a private productivity trick rather than a business asset.
    The next move
    Give it an owner. Not a committee, one person with the authority to set a standard. Most businesses stall at this rung for a year because nobody was ever made responsible for it.

    Level 3

    Assisted

    AI is used daily, but around the edges, and the output needs heavy rework.

    What it looks like
    Drafting emails, summarising calls, first passes at content. Real time is being saved. But everything gets rewritten before it goes out, and the good results depend on who was holding the keyboard.
    What is capping you
    The rework tax. You are paying for the AI and then paying a person to fix it, so the saving is smaller than it looks. This is the rung where most businesses quietly conclude AI is overrated.
    The next move
    Stop improving the prompts and start giving it your method. Heavy rework almost always means the system was never told what good looks like. Write down how you actually do the work, then hand it that.

    Level 4

    Orchestrated

    AI is built into core delivery, there is a clear owner, and the output is reliable.

    What it looks like
    Your method is written down and structured, so the system runs your process rather than improvising one. Work moves between steps. A human still approves anything that leaves the building, but they are approving, not rebuilding.
    What is capping you
    It does not learn. The system is good, but every job starts from the same place it started last month, because nothing is being written back into memory.
    The next move
    Give it a memory. Feed what you learn from every job back into the system, so the next one starts from what you already know instead of a blank page.

    Level 5

    Compounding

    The system gets sharper every week, whether or not you are in the room.

    What it looks like
    Agents work together and hand off between themselves. What the business learns gets written back and reused. The founder is out of the delivery loop and into the judgement loop, which is the only place they were ever needed.
    What is capping you
    Honestly, at this point the constraint is usually demand, not delivery. Which is a much better problem, and a different conversation.
    The next move
    Protect it. This is the rung where security stops being paperwork. A system with this much reach into your business is a target, and a shared login is how it gets taken.

    Place yourself in five questions

    Answer these honestly and you will know your rung. Answer them the way you wish they were true and the audit is worthless, so do not.

    1. 1

      Where does AI sit in how you deliver today? Built into core delivery steps, used daily but around the edges, a few people experiment, or barely used?

    2. 2

      Who owns AI inside the business? A clear owner with standards, one person driving it, a few people with no owner, or nobody?

    3. 3

      How much of your AI output is usable without heavy rework? Most of it, about half, a little, or you do not produce any?

    4. 4

      Is your method written down anywhere a system could read it, or does it live in your head?

    5. 5

      If you stopped approving work for two weeks, what would still ship?

    Find out which rung you are actually on

    Six minutes, five dimensions, your blind spots named. Free, and you get the result immediately.