Deployment depth
How many AI use cases are live, and how deep do they go? "We use ChatGPT" is not the same as AI embedded in a business process.
A paid, structured audit of how AI and automation could help your business. One week elapsed, two days of your team's time: process discovery on the Monday, AI maturity assessment on the Tuesday, walkthrough call on the Friday. You leave with three workflow recommendations, three AI recommendations, an AI maturity scorecard, and a 30-day plan. The build, if any, is a separate decision.
Same shape every audit. Process discovery on the Monday. AI maturity assessment on the Tuesday. Analysis and writing midweek. Walkthrough on the Friday.
Process discovery
Three sessions on site or video, ninety minutes each. One with the partner or owner, one with operations, one with a senior team member. We also pattern-match across the sessions and send any follow-up questions to your team.
AI maturity assessment
Three more ninety-minute sessions, scoped to the six dimensions of the AI maturity scorecard. We cover deployment, integration, data, outcomes, people, and governance with the right people in the room for each.
Score and write
Deadline for any follow-up answers. Every workflow and AI use case scored on hours-returned, build cost, and stack fit. Top three of each picked. Report drafted.
Sense-check
Internal review, including a deliberate hunt for what we have got wrong. Final draft signed off.
Walkthrough
Sixty-minute video call. We walk you through the report. You leave with the PDF and a 30-day plan.
Every audit assesses your AI maturity across six dimensions, each scored against specific, observable criteria. No guesswork, no opinions.
How many AI use cases are live, and how deep do they go? "We use ChatGPT" is not the same as AI embedded in a business process.
Is AI connected to your business systems, or stuck in a separate browser tab? Copy-paste is not integration.
Does AI have access to the right information? Uploading the odd PDF is not the same as a structured knowledge base.
Are you measuring what AI delivers? "It feels faster" is not a metric. "We cut proposal time by 40%" is.
Do your team have the skills and confidence to use AI well? Attitudes matter as much as training.
Are there clear rules about what is and is not allowed? Most businesses have an informal understanding. Very few have it written down.
An AI maturity scorecard, three workflow recommendations, three AI recommendations, and the things we deliberately tell you to ignore.
One-page visual summary with your overall maturity score, dimension breakdowns, and headline findings. Board-ready.
The three automations worth doing first, ranked by hours-returned-per-year. Each with the pattern that fixes it, rough build cost, and the honest counter-case.
Where AI is currently helping, where it should be (but is not), and what to do about each. Tied back to the maturity scorecard so the action follows the score.
One page on what we would do first, sequenced so you can act on it without further consultation.
The workflows and AI experiments you might think are worth pursuing but are not, with reasons. The page that earns the audit fee.
If you decide to proceed with any of it, pricing for the build is on the final page. The build is a separate decision, not a sales pitch.
Vendor-agnostic, no commission. We do not take referral fees from the tools we recommend. The audit runs on your stack, not ours. The build, if you decide to proceed, is a separate decision.
Any UK business that has started using AI, or is thinking about it, and wants to know what is actually worth doing.
Start with a fifteen-minute scoping call. No commitment, no sales pitch. We agree the audit is the right shape, or we do not.