Fixed fee · Four days · A plan you own

Your AI spend keeps going up. Can you point to what it's returned?

A four-day, fixed-fee review for accounting, legal and financial advice practices. You leave with a ranked plan your business owns.

Licences, tools, add-ons, a pilot or two. The invoices arrive every month; the improvement doesn't. Nobody is sure whether to spend more, stop, or start again somewhere else.

That's the moment to call. Not because you need another tool, but because the question has changed from “which AI” to “where does this actually fit in a practice like ours, and what's stopping it.”

Why AI Stalls in Professional Practices

It isn't the technology.

Large organisation or ten-person practice, AI stalls for the same structural reasons. In a practice, a stall is the good outcome. The bad one is AI that half-works, with its mistakes going out under your name and your licence.

The platform was chosen before the work was.

Last year the safe bet was a Copilot licence for everyone. This year half the team quietly uses ChatGPT or Claude, and which model leads changes every few months. A practice that built its workflow on one vendor's product is now stuck, or paying twice. The question was never which model is best this quarter. It's whether you can change your mind without losing your knowledge or your process.

The knowledge isn't written down.

The senior accountant knows how a trust distribution file is actually prepared. The senior associate knows which precedent to start from and why. The paraplanner knows how a complex rollover is really put together. The process doc says something else. An agent built on the doc produces confident, wrong output — and it looks fine until it isn't.

Nobody steers the output.

The agent goes live and nobody tells it when it's wrong. Output quality doesn't come from the model; it comes from people reviewing and correcting the work on a regular cadence, for months. Without that loop, the output stays mediocre and everyone decides AI doesn't work here.

Nobody owns the exception path.

The automation handles 90% of matters. The other 10% land nowhere, and the whole thing quietly gets abandoned.

Compliance is asked last.

A workflow gets built, then someone asks what the obligations are — the licensee's, the TPB's, the Law Society's — what has to go past a human, and what happens on an exception. Retrofitting that is more expensive than designing it in.

The budget covers one team. The data lives in four.

The AI project gets funded for tax, or for litigation, or for advice. The workflow it needs to improve runs across the whole practice — the practice management system, the document system, email, a shared drive, someone's head. The silo outside the budget is the roadblock, and the project is stillborn before anyone notices.

The review exists to find which of these is true for you, in which workflows, before any more money goes out.

Who It's For

Partners, principals and practice managers of accounting, legal and financial advice practices — typically 5 to 50 people — who already have AI in the business and want a defensible answer on what to do next.

Below five people there's rarely a cross-team problem to find. Above fifty you probably have an IT manager and a procurement process, and the conversation is different. In between is where a four-day review pays for itself.

It is not for practices that haven't started. If that's you, the first step is a conversation, not a review.

It works best when the boss is all in.

Firm size matters less than this. Not curious, not handing it to whoever likes tech: all in. In practice that means:

  • •You know it costs time and money, and that much of the time is yours and your senior people's.
  • •You see it as a long-tail project. The first weeks set things up; the benefit shows up over months, not days.
  • •You'll stay in the feedback loop. Correcting the output is what makes it better. Without that, quality stalls instead of compounding.
  • •You're realistic about what the first 90 days can deliver.
  • •You want to lift how everyone in the firm uses AI, not just the two people who already do.

What You Get

Everything below is yours. Take it to your own team, to us, or to another provider.

  1. 1

    Readiness summary. The strengths, gaps and dependencies in the two or three workflows we reviewed — including the work that has to happen before automation is sensible.

  2. 2

    Ranked opportunity list. Each candidate scored on business value, feasibility, data readiness, professional-obligation exposure and who would own it. Some will turn out to need a cleaner process or a better system connection, not AI. We'll say so.

  3. 3

    Recommended first workflow with a plain explanation of the options and trade-offs, and what to fix first.

  4. 4

    Indicative effort and cost for that first workflow: your team's time, software, specialist help, elapsed time — with the assumptions written down so you can challenge them.

  5. 5

    90-day action plan. Named owners, preparation steps, decision points and the measures that would tell you it worked.

  6. 6

    12-month direction. The sequence after the first workflow, so you can decide what to fund and what to defer.

  7. 7

    Switching-cost view. For every recommendation: what you'd own outright (your knowledge, your process documentation, your data), what would depend on a particular vendor or model, and what it would cost to move. If you're already down a track that's hard to leave, we say what leaving would take — and sometimes the honest answer is stay.

Delivered as a written report and walked through with you live. We don't email it and hope.

How It Runs

Four working days of ours, spread over about three weeks of yours.

1

Discovery

On site or remote. We sit with the people who do the work in the two or three workflows you've nominated. Systems, data, hand-offs, exceptions, what gets copied by hand.

From you

A sponsor, the process owners for half a day each, and agreement on what can be shown to us.

2

Analysis and options

We map what we found against the failure patterns above, score the opportunities, and work up the options for the first workflow.

From you

Nothing.

3

Working session

A live session with your partners or leadership team on the draft findings. We argue it out, test assumptions, and settle the priorities together.

From you

Half a day from the sponsor and whoever decides.

4

Final report and walkthrough

The written report, the 90-day plan and the 12-month direction, presented live.

From you

One hour.

On client confidentiality and privilege

We agree what's in scope before day one and work from representative or de-identified matters wherever that's appropriate. We don't need your client files to understand your workflow; we need the people who run it.

What It Costs

A fixed fee, agreed before we start.

No hourly surprises. Scope is two to three workflows; we confirm the fee on the first call, and if your situation needs more, we'll say so and quote it before we start, not after.

What We Guarantee, and What Nobody Can

We guarantee

The four days, the interviews with your process owners, the written report, the live walkthrough, and that every recommendation comes with its assumptions written next to it. If the report doesn't give your leadership team a decision they can defend, we'll rework it at our cost.

Nobody can guarantee

The productivity gain, the cost saving, or that your team will adopt the result. Those depend on decisions and follow-through inside your practice. Anyone who promises them is selling you the next stalled project.

Built So You Can Change Your Mind

You'll see an opinion in the report, so here it is up front. Keep the knowledge and the process in a form your practice owns and can take anywhere. Keep the model swappable. Frontier models trade places every few months; the way your practice prepares a trust distribution or a statement of advice doesn't. So: modular where it's cheap, and where it isn't, the cost of changing written down next to the recommendation.

That isn't a promise that switching is free. It's a promise you'll know the price before you commit — which is also what lets a partner defend the decision later, whichever way the market moves.

What Happens Next

The review is a complete engagement on its own. Where it points — a company agent in the tools your team already uses, a knowledge layer your practice owns, a workflow with proper sign-off, or simply a cleaner process — you can build it with us, with your own team, or take the report to market and compare providers. The report is written so that any of the three works, and it says where further technical design is needed before anyone can quote properly.

What building with us looks like

Common Questions

Do we need to pick an AI platform first?

No — and the review will show you how to avoid having to. We start from the work and the systems you already have. Platform and model choices follow the workflow and the controls it needs, and the report says what each choice would cost to undo.

Can't we just get AI to do this for us?

For a single task, often yes, and for some businesses that's enough. Use it. What AI can't do on its own is decide which work is worth pointing it at, reach your data safely with the right people seeing the right things, or tell you when its answer is wrong. That's the plan the review gives you.

Why not give this to someone internal?

Someone internal should own it. Building it is a different job: working out what AI can do for your business takes dozens of hours of trial and error, and on top of a full-time role those hours lose to client work every week. We put in those hours instead. We've already tested most of the paths that look right and aren't, starting on our own business, so you skip the U-turns. They own it; we keep it improving alongside them.

Does this make us compliant?

No. It identifies the operational and information-control questions the work raises, in language your compliance adviser or practice regulator can act on. They stay involved wherever their approval is required.

What if the finding is "you're not ready"?

That's a good outcome at this price. The plan will say what to fix first — usually process, data ownership or access control — and you'll have avoided funding the next stillborn project.

Start with the workflow that's costing you most

Tell us where the time goes, what isn't connecting, or which automation stalled. Twenty minutes will tell us both whether the review is the right next step.

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