Service 01 · Review

AI readiness audit — a ranked, costed view of where AI fits

Two to three weeks. We map how work moves through your business, then hand you a written plan of what to automate, in what order.

What an AI readiness audit covers

Up to three connected processes within one part of the business, traced from the point work arrives to the point it is finished.

We look at the systems you pay for and what each is genuinely used for, the steps your team repeats and how often, and the points where information is carried by hand between systems — which is usually where most of the recoverable time sits.

Volume figures come from what your team reports and from sample examples. That is enough to rank three opportunities against each other reliably.

How the audit runs

01We map what happens rather than what is documented.
02We speak to the people doing the work.
03We put numbers behind every recommendation.
04We say what we would leave alone.

What arrives at the end

  • Tool and system review.
  • Workflow map.
  • Readiness scorecard across six dimensions.
  • Opportunity matrix.
  • Top three to five recommendations.
  • The leave-alone list.
  • 90-day roadmap.
  • Written report and live walkthrough.

How we rank AI automation opportunities

FactorWhat we assess
VolumeHow often the work occurs, and the hours per month it takes
AI suitabilityWhether the step genuinely needs judgment about language, or whether a rule would do
Build effortSystems involved, how varied the input is, how much testing it will need
Review burdenHow much checking the output will require to be trusted

Anything scoring low on AI suitability goes on the leave-alone list with a note on what would handle it more cheaply.

Timeline

StageWhat happens
01Kick-off60 minutes. We agree scope, who we speak to, and what a useful answer looks like.
02DiscoveryThree to five interviews, a look at your tools, and real examples of the work.
03AnalysisWorkflow map, readiness scorecard, and opportunity matrix.
04Walkthrough60 to 90 minutes with you and the people interviewed.
05Handover and follow-upWritten report, 90-day roadmap, and a follow-up call.

What we need from you

  • Three to five people for 45 minutes each.
  • A list of the software you pay for.
  • Five to ten real examples of the work.
  • Rough monthly volume figures.

Around five hours in total.

The limits

Outside this engagement

  • Building anything. This is a review.
  • Software selection or procurement.
  • Financial modeling or a formal business case.
  • Volume measured from system exports — figures here come from what your team reports.
  • A build-ready specification for any recommendation.
  • Ongoing advisory after the follow-up call.

When the Deep Audit is the better fit

Where six to eight processes across more than one team, site, or entity are in question, the Deep Audit covers them in four to five weeks. It adds volume measured from your own system data, a cross-process view of where the same information is handled twice, readiness scored per team, a sequencing plan, and a build-ready specification for the top recommendation.

Where three processes and reported volume figures are enough to decide, this engagement is the faster and cheaper route. Compare the two →

Common questions about AI readiness audits

How long does an AI readiness audit take?
Two to three weeks from kick-off to handover. Most of that is discovery and analysis; your team is involved for around five hours in total.
What do we need to have ready?
Three to five people for 45 minutes each, a list of the software you pay for, five to ten real examples of the work, and rough monthly volume figures. Nothing needs preparing in advance.
What if the answer is that AI will not help?
Then that is what the report says, with the reasoning. Anything scoring low on AI suitability goes on the leave-alone list with a note on what would handle it more cheaply.
Do you build what you recommend?
Usually, but it is a separate engagement, quoted separately, and entirely your choice. The report is written so that anyone could build from it.
Where do the volume figures come from?
From what your team reports and from sample examples. That is enough to rank three opportunities against each other reliably. Where you need measured figures, the Deep Audit works from your system exports instead.
Next stepTell us what your team keeps redoing.Thirty minutes, no preparation needed. We will tell you honestly whether AI would help or whether simpler automation would do the job.
Book a 30-minute call