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AI and Automation Audit.

Quick answer

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.

The shape

One week. Two days of your team's time. A clear answer by Friday.

Same shape every audit. Process discovery on the Monday. AI maturity assessment on the Tuesday. Analysis and writing midweek. Walkthrough on the Friday.

Monday

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.

Tuesday

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.

Wednesday

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.

Thursday

Sense-check

Internal review, including a deliberate hunt for what we have got wrong. Final draft signed off.

Friday

Walkthrough

Sixty-minute video call. We walk you through the report. You leave with the PDF and a 30-day plan.

The framework

Six dimensions. Evidence-based scoring.

Every audit assesses your AI maturity across six dimensions, each scored against specific, observable criteria. No guesswork, no opinions.

01

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.

02

Systems integration

Is AI connected to your business systems, or stuck in a separate browser tab? Copy-paste is not integration.

03

Data and context

Does AI have access to the right information? Uploading the odd PDF is not the same as a structured knowledge base.

04

Outcomes

Are you measuring what AI delivers? "It feels faster" is not a metric. "We cut proposal time by 40%" is.

05

People

Do your team have the skills and confidence to use AI well? Attitudes matter as much as training.

06

Governance

Are there clear rules about what is and is not allowed? Informal understandings are the norm. Written policies are rare.

What you get

A document that earns its fee.

An AI maturity scorecard, three workflow recommendations, three AI recommendations, and the things we deliberately tell you to ignore.

  1. 01

    The SmartOps AI Scorecard

    One-page visual summary with your overall maturity score, dimension breakdowns, and headline findings. Board-ready.

  2. 02

    Three workflow recommendations

    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.

  3. 03

    Three AI recommendations

    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.

  4. 04

    30-day plan

    One page on what we would do first, sequenced so you can act on it without further consultation.

  5. 05

    What to ignore for now

    The workflows and AI experiments you might think are worth pursuing but are not, with reasons. The page that earns the audit fee.

  6. 06

    Build pricing

    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.

What this looks like

An audit, not a sales call.

The deliverable is a PDF and a 60-minute walkthrough. The walkthrough is a walkthrough, not a pitch. You leave with three workflow recommendations, three AI recommendations, a maturity scorecard, a 30-day plan, and a “what to ignore for now” page. Whether you commission any of the work afterwards is your decision and a separate engagement.

The six dimensions we score

Each dimension is scored one to five with evidence drawn from observation, interviews, and document review. The combined picture shows where AI and automation are paying back, where they are silent, and where the next move sits.

Deployment depth. What is actually in use day to day, not what is licensed. A team with five Copilot seats and one habitual user is a one, not a five.

Systems integration. Whether the AI and automation steps connect to your real systems (practice management, accounting, CRM, document store) or sit in parallel as side tools your team copy-pastes into.

Data and context. Whether the systems can see the data they need to be useful: customer history, prior decisions, policy documents, the actual source of truth. Most “AI is not working for us” verdicts trace back to this row.

Outcomes. Whether the work is measurable. Time saved, errors reduced, decisions made faster, capacity freed. If no-one can point to a number, the score is low whatever the spend.

People. Whether the team trusts the tools, knows when to override them, and has somewhere to raise problems. Adoption is a behaviour, not a rollout email.

Governance. Whether someone owns the data flow, the retention policy, and the processor relationships. This row has become material since AI started routing client financial data through new third-party processors. GDPR Article 28 obligations do not disappear because the AI was easy to switch on.

How the week runs

Monday is three process discovery sessions on site or video. One with the partner or owner. One with whoever runs operations day to day. One with a senior team member who actually does the work. The point is to see how work flows in practice, not how the org chart says it does.

Tuesday is three more sessions covering the six maturity dimensions, with the right people in the room for each. Governance with whoever owns data and compliance. People with whoever runs the team. Outcomes with whoever sees the numbers. We cover the dimensions in the order they reveal each other.

Wednesday is the cut-off for any follow-up answers. We then score everything against the rubric, draft the workflow and AI recommendations, build the scorecard, and write the 30-day plan.

Thursday is internal sense-check. We re-read the report against the evidence and the scoring rubric. Anything that does not stand up to “what is the evidence for this score” gets revised or removed.

Friday is a 60-minute walkthrough call. We hand over the PDF, walk you through the headline finding, the scorecard, the three workflow recommendations, the three AI recommendations, the 30-day plan, the “what to ignore for now” page, and the build pricing on the final page if you want it. We answer questions. We do not pitch.

Why this is an audit, not a pitch

The methodology aligns to internal audit and process optimisation discipline. The six dimensions are the same rows an auditor would assess in any operational function: where is the spend, where is the value, where is the risk, who owns it, and what is the evidence. The automation and AI layer is the part of the business those rows have not historically been applied to.

The reason an independent audit matters is the same reason an independent audit of any kind matters. Anthropic will not tell you whether you should toggle on Claude for Small Business. Microsoft will not tell you Copilot is being underused or oversold. The platform you build on is not the right party to assess whether the platform you build on is the right choice. We are independent AI and automation specialists. No vendor pays us, no commission flows from any recommendation, and the build pricing on the last page is the build pricing whether you commission it or not.

If you decide to act on the report, an Automation Build or an AI Integration becomes the next engagement. Or you take the report and act on it yourself. Or you hand it to whoever is already doing the work. The audit is the audit.

Is this you?

Built for businesses that want a clear answer.

Any UK business that has started using AI, or is thinking about it, and wants to know what is actually worth doing.

You rolled out AI tools but adoption has been patchy.
You suspect there is automation worth doing but you do not know where to start.
You want to invest more but need to know where you stand and what to do first.
Audit or assurance?

Which one do you need?

Two different jobs, easy to mix up. One finds where AI and automation are worth doing. The other independently checks the AI and automation you already run.

You are here

AI and Automation Audit

“Where should we use AI and automation, and what is it worth?”

  • For businesses working out where to start, or where to invest next.
  • You leave with the opportunities worth doing, a maturity scorecard, and a 30-day plan.

AI and Automation Assurance

“Is the AI and automation we already run safe, controlled, and owned?”

  • For businesses already live, often building in-house.
  • You leave with an independent review of the risks and controls, and the gaps that matter.
Go to Assurance

Want a clear answer by Friday?

Start with a fifteen-minute scoping call. No commitment, no sales pitch. We agree the audit is the right shape, or we do not.

Not ready for the full audit? Start with the £500 Time and Money Map, a two-hour call and a written map of where to begin.

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