AI Work Review

Find where AI could genuinely change how work gets done

For small and mid-sized businesses whose people are already experimenting with AI, or who know there is an opportunity but do not know where to start. We examine how work happens today, where time or value is being lost and which changes are worth testing first.

What you receive

  • Up to three workflows or opportunities, ranked, with the reasoning behind the order
  • For each one, where the evidence allows: how the work happens today, the friction, the candidate change and what should stay with people
  • The potential value, the systems and data each change depends on and the risks that matter
  • A first experiment for each, and the evidence that would show it worked
  • What not to prioritise yet, and why
  • A practical 90-day plan, including what to test before committing further

Bring a view of the work, not a polished brief

A person who understands the day-to-day work and someone who can set priorities should join the session. Bring examples of repeated tasks, the systems involved and any useful estimates of volume, time or mistakes. We agree which materials are appropriate to share beforehand.

  1. Prepare

    Agree the business question and review the background you can provide. Flag missing information and sensitive material before the session.

  2. Work through it

    Use the 90-minute session to walk through the work as it happens today, challenge assumptions and compare possible changes. Follow-up questions resolve specific gaps.

  3. Choose a next step

    Receive a written readout within five working days of the session. It explains the priorities, what remains uncertain and the first useful action.

Illustrative example, not a client result

What each opportunity in the readout covers

Workflow today
An account team assembles the same client update every week from email, documents and the CRM.
Friction
Most of the time goes on finding and copying information, and the same figures are checked twice.
Candidate change
Bring the sources together and have AI draft the update for the account manager to edit.
What stays with people
Judging what the client needs to hear, checking the figures and sending the update. A named person stays responsible.
Potential value
Time back each week and fewer errors in client updates. The first experiment measures both rather than assuming them.
Systems and data
Read access to the CRM and the shared drive, and figures that agree between them.
Risks
Client data leaving approved systems, and drafts that read well but carry the wrong figure.
First experiment
Four weeks of drafts for one account manager from a representative set of sources, checked against the manual version.
Evidence of success
Time per update, corrections needed per draft and whether the account manager keeps using it.

What this review can establish

It is a prioritisation exercise based on a focused session and the evidence available. It is not a maturity score or a forecast of returns. It does not include a full systems audit, penetration test, legal opinion, production implementation or a validated financial business case. A complex estate, transaction or investigation may need Discovery or a separately scoped assessment.

See a larger Discovery

What the paid review adds

The free Value Check applies rules to your questionnaire answers. In the paid review, a senior TechGuidr adviser examines examples, asks follow-up questions and works through the options with you. The readout is specific to the evidence discussed, with further investigation called out where it is needed.

Try the free Value Check

Before you commit

Questions before you commit

How much does an AI consultant cost for a small business?

It depends on how deep the work goes. The AI Work Review is £1,250 ex VAT, fixed: preparation, a 90-minute working session and a written readout within five working days. A larger Discovery starts from £5,000, and an AI Work Sprint that changes three workflows with one team starts from £7,500. Every price is published before you speak to us.

Is this an AI readiness assessment or an AI audit?

It covers what people usually want from either: how the work happens today, where time or value is lost, what data and systems a change would depend on and what the risks are. It does not produce a maturity score. It ends with the workflows worth changing first and a first experiment for each.

What if AI isn’t the answer?

Then the readout says so. The first step might be a process change, better use of tools you already have, or nothing yet. There is no obligation to commission more work.

What happens after the review?

You can act on the readout yourselves, take it to another provider, or run an AI Work Sprint with one team to put the first changes in place and measure them.

Talk through whether this is the right starting point

The readout is yours. There is no obligation to commission more work. The next step could be an internal process change, a small trial, an AI Work Sprint with one team, further investigation or no action.

Discuss this review See the AI Work Sprint