AI strategy and readiness reviews: where AI pays in your business, and where it doesn't.
Proven on Manifold, our own SaaS with our own money on the line
Two or three costed use cases ranked by payback
A do-not-touch list with reasons you can defend
A plan your team can execute without us
You know AI matters but you're getting more pitches than answers, and you'd rather find the two uses that genuinely pay than fund an experiment that quietly dies.
- A readiness review of your processes, data and tools: where the hours actually go
- Two or three costed, ranked AI use cases with the payback maths shown
- The 'do not touch' list: places AI would add risk or cost without return
- Data protection and governance answers in plain English, in writing
- A sequenced roadmap your team can act on, with us or without us
Would AI pay here? Answer three questions.
The same triage we run at the start of every readiness review, shortened to ten seconds. The verdicts are honest, including the one that says don't hire us.
Does your team spend hours each week on repetitive reading, writing or re-keying?
Summarising documents, drafting similar emails, moving data between systems.
Does the information those tasks need already exist somewhere digital?
In your inbox, CRM, file store or database, even if it's messy.
Could a person quickly check the output before it matters?
A human sign-off step is how AI earns trust in week one.
How a readiness review runs
Audit
We sit with the real work: the exports, the inboxes, the copy-paste. The opportunities are always in the boring parts.
Rank
Every candidate use gets a cost, a payback estimate and a risk note. Most lists end up shorter and more valuable.
Roadmap
A short plan sequenced by return, with the first build scoped and priced if you want it.
The scoping call, itemised.
The free call at the start of every engagement has an agenda, and this is the whole of it. Press an item to see what we ask and why we ask it.
No slides and no pitch: four questions, your answers, and you keep the notes either way.
Readiness reviews from £2,500, fixed.
The review is a fixed figure agreed in writing before we start, scoped in one short call. No meter running, no drift.
We ship AI features in our own products and use these tools daily in our own delivery. The advice comes from production experience, not a briefing pack. Every review ends with a written plan you own outright: no lock-in, no dependency on us to act on it, and a standing offer to sanity-check quotes you get elsewhere against it.
Asked in every readiness review
How long does an AI readiness review take?+
Typically two to three weeks from first call to written plan, including time with the people who actually do the work. We keep the disruption to a handful of short sessions.
Do we need our data sorted out first?+
No. Messy data changes the recommendations, not the usefulness of the review; knowing what to fix first is part of the answer. If data work is needed we say so plainly, with a price.
What do we own at the end of the review?+
Everything. The written plan, the costed use cases and the do-not-touch list are yours outright, with no dependency on us to act on them. There is no lock-in, and we keep a standing offer to sanity-check quotes you get elsewhere against the plan.
Think AI Strategy & Readiness might fit? Find out on a call, not a contract.
- Describe the problem. Plain English is fine; you hear back within one working day.
- Talk it through. The scoping call is with the consultant who would build it, never a salesperson.
- Get the figure. A fixed estimate in writing, and a straight 'AI is not the answer here' if that is what we find.