Start Here · AI Health Check

An AI audit that shows what's working, what it costs and what's risky

Most businesses already use AI, often more than they realise. The AI Health Check looks at the tools, subscriptions and API spend you have, how your team really uses them and where the risks are, then gives you a short plan to keep what works and fix what doesn't.

Take the AI Readiness Check See examples

Example

Tools, subscriptions and API spend listed

How your team really uses AI, by survey and logs

Risks checked: data, access and policy

A short report: keep, fix, stop and next

AI + Experts + Your Data

Any one of these on its own falls short. Together they give you the speed of AI with answers you can trust.

Does the heavy lifting

Pulls usage and spend data from your AI accounts.

EXPERT

Checks it's right

Reviews risk, value and policy with a practical eye.

YOUR DATA

Keeps it grounded

Your real subscriptions, logs and team feedback.

HOW IT WORKS

How it works, step by step

Here is a typical job, from the moment it arrives to the moment it is done. Watch it move through.

01Tools, subscriptions and API spend listed
02How your team really uses AI, by survey and logs
03Risks checked: data, access and policy
04A short report: keep, fix, stop and next

Where it pays off

Real examples of where AI Health Check pays off. Filter by the part of the business you care about.

ADMIN

Subscription and spend review

Every AI tool and licence listed, with duplicates and unused seats found.

All sectors

ADMIN

Shadow AI check

Which tools staff use without approval, and what data goes into them.

All sectors

OPERATIONS

Data and access risks

Where customer or staff data meets AI, and whether that's allowed.

Professional servicesHealthcare

ADMIN

Policy gap check

Your AI use policy, or the lack of one, against how people actually work.

All sectors

OPERATIONS

Quick wins list

The two or three changes that pay off fastest.

All sectors

OPERATIONS

Token and API cost review

Where API spend can be cut, ready for token optimisation.

All sectors

Start small. Prove it works. Then scale.

No big transformation projects. We find the one thing worth doing first, prove it with a pilot, then keep building month by month.

01 · 3 MINUTES

AI Readiness Check

Seven questions and a straight answer on whether AI fits your business yet.

02 · 1 DAY

1 Day Business Analysis

A day with your team to find the quickest wins. Free for a great fit.

03 · 2 TO 4 WEEKS

Pilot Build

One workflow built, tested and handed over, so you see it working first.

04 · MONTHLY

Monthly Support

Monitoring, training and the next build. Leave at the end of any month.

IN DEPTH

The detail, in 6 short parts

01 / 06

What Is an AI Audit?

An AI audit is a structured review of how your business uses artificial intelligence. It looks at which AI tools you pay for, who uses them, what data goes into them, what they cost and whether they're giving you real value. The AI Health Check is our AI audit for small and medium businesses.

It isn't the same as an internal audit of your finance procedures, and it isn't a certification. Think of it as an honest health check: a clear picture of where AI is helping, where it's wasting money and where it creates risk you didn't know about.

Most SMEs have adopted AI in pieces. One person pays for ChatGPT, another uses Copilot in Microsoft 365, a third tries Gemini in Google Workspace, and someone has connected an AI model to your CRM through Zapier or Make. Each choice made sense at the time. Together they rarely add up to a plan.

02 / 06

AI Audit vs AI Readiness Assessment

An AI readiness assessment asks whether your business is ready to start using AI: your data, systems, people and goals. An AI audit looks at the AI you already use. Many businesses need a bit of both, so the Health Check covers what's in place now and what's needed before you add more.

If you haven't started with AI yet, our free AI Readiness Check is the better first step. If you already have tools, subscriptions and API spend, an AI tools audit will tell you far more.

03 / 06

How the AI Audit Process Works

The audit process is short and practical. We do the evidence collection, and your team spends as little time on it as possible. AI + Experts + Your Data together beat any one on its own, so we use AI to speed up the analysis and a person to make the judgement calls.

1. Inventory every AI tool and system

We list every AI platform, licence, plug-in and API key in use, including cloud tools staff signed up to on their own. Billing records, admin consoles and a short staff survey usually find more than anyone expected.

2. Review usage, value and spend

For each tool we look at how many users really use it, what they use it for and what it costs. Duplicate tools, unused seats and API costs that have crept up are identified and priced.

3. Risk assessment and controls

We check where customer, staff or financial data meets AI, who has access, which security controls are switched on and whether your use fits UK GDPR. We also look at accuracy and reliability: where AI output feeds into decision making without a person checking it.

4. Governance and policy review

We compare your AI use policy, or the lack of one, against how people actually work. Good AI governance doesn't need to be heavy. For most SMEs it means a one-page policy, an approved tools list, clear owners and a simple way to raise concerns.

5. Reporting and next steps

You get a short written report and a call. Every finding sits in one of four columns: keep, fix, stop and next. The quick wins come first, so you can act the same week.

04 / 06

What an AI Tools Audit Checks

Every business is different, but most AI audits cover the same core areas. Here's an example of what we look at.

Tools and subscriptions: every licence, plan and seat, with duplicates found.
API and token spend: which models you call, how often, and where costs can come down.
Data and security: what goes into each tool, where it's stored and whether the provider uses it for training.
Access and controls: who can use what, single sign-on, admin settings and leavers' accounts.
Quality and accuracy: where generative AI output is checked, and where it isn't.
Transparency: whether customers are told when AI is used, where that matters.
Adoption: which teams get value and which have given up, and why.
Policy and guidance: what staff have been told, and whether it matches practice.

05 / 06

Why Small Businesses Need an AI Health Check

Large companies have audit teams, engineering teams and compliance departments. Most SMEs have none of these, yet they use many of the same AI tools. That's where small problems build up quietly: a forgotten subscription, a spreadsheet of customer details pasted into a free chatbot, an automation nobody owns any more.

An AI health check gives you confidence. You know what you pay for, what it does, and what to do next. It also gives the board or owners a clear view before any further AI development or deployment.

AI doesn't replace professional judgement

AI tools are a helpful assistant, not a substitute for professional judgement. Part of every audit is checking that people still review the work that matters, such as quotes, contracts, advice to customers and anything in finance.

06 / 06

Cost, Timings and What You Get

The AI Health Check is a fixed fee, quoted up front once we know how many tools and people are involved. Most audits take about two weeks from kick-off to report, with two short calls with your team.

At the end you get the written report, a prioritised improvement list and a recommended next step. That might be a policy, some training, a token optimisation project or simply cancelling tools you don't need. If you'd like continuous monitoring afterwards, our monthly support from £750 a month can keep an eye on spend, access and new tools each month.

FAQ

Common questions

Who is the Health Check for?

Businesses already paying for AI tools who want to know whether they're getting value and staying safe.

What do we get at the end?

A short written report and a call: what to keep, fix and stop, and what to do next.

How much does it cost?

It's a fixed fee, quoted up front once we know how many tools and people are involved.

What is an AI audit?

A structured review of the AI tools, data, spend and risks in your business, ending with a clear plan of what to keep, fix and stop.

Can AI do an audit?

AI can speed up parts of an audit, such as reading usage logs, sorting unstructured documents and spotting patterns in spend. A person still needs to judge risk and value, so we use both.

How can AI systems be audited?

By listing every tool and model in use, checking what data goes in and comes out, testing the accuracy of key outputs, reviewing access controls and comparing all of it with your policy.

What is an AI readiness assessment?

A check on whether your data, systems, people and goals are ready for AI. Our free AI Readiness Check takes about three minutes and is a good place to start.

What are the five pillars of AI readiness?

There's no single official list, but most frameworks cover strategy, data, technology, people and governance. The Health Check looks at all five as they apply to the AI you already use.