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AI & Data Consulting

Automating the hard stuff.

Most businesses have one: product data that isn't good enough, reporting nobody quite trusts, search performance that has stalled, a compliance process buried in spreadsheets. We work with your leadership to find the problem worth solving, build the fix with AI and your own data, and leave your people able to run it.

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The problem

Senior, hands-on help with the problem that's been quietly holding your business back, solved with AI and your own data.

AI has changed what a small, expert team can build in weeks. Capabilities that once meant buying a specialist SaaS tool for every function can now be built into the core of your business, around your processes and your data. The hard part isn't the AI. It's choosing the problem worth solving, getting trustworthy data underneath it, and bringing your people with you.

What's included

A problem-finding session with your leadership: what's worth solving, and what it's worth
A data audit: what you collect, what you could, and what you can trust
First-party data pipelines from your systems, sites and suppliers into a database you own
MCP connectors, so AI assistants answer from your real data rather than guesswork
Monitoring routines that check changes worked and flag what needs a closer look
Hands-on AI training for your team, built around their real work
A three to six month engagement, with a documented handover of everything we build

The data

The future belongs to the businesses that own their data.

Software can be copied and websites can be rebuilt. First-party data that you collect and analyse yourself can't. Pricing, stock, project, supplier and customer data, captured and joined up, becomes the foundation for faster decisions and for better features for your customers: tools that help them choose, and get them through the buying journey sooner.

We build the collection and the analysis: integrations with the systems you already use, scheduled data capture from the web where it's lawful and useful, and a clean database that you own outright.

The people

Never forgetting that humans are the domain experts, and in control of the work.

Your people are the domain experts. AI fetches the data, builds the dataset, interprets it and keeps watching: routines check that a change had the effect you wanted, and flag when something deserves a closer look. It works like a built-in testing and follow-up engine.

“Don't AI tools make things up?” It's the right question. The connectors we build (MCPs) only collect data from your systems' APIs and write it to a database, so the data itself is deterministic. Ask a question and the AI writes the query, shows you the raw numbers if you want them, and explains what they mean. You can always check the working.

Not everyone needs to use AI for everything, and some people never will. While we rebuild a process, we train the people around it, so they understand what the AI is doing and can build small tools of their own. When someone ships their first idea the penny drops, and a team of AI-capable people is worth more than any single tool.

How we engage

What we offer is solving the hard problems.

Then handing them over. The businesses that win next are the ones that build their know-how into their own systems, rather than renting it one subscription at a time.

Find the problem worth solving

We start with your leadership: where time is lost, which numbers nobody trusts, what has stalled. Then we agree what fixing it is worth.

Build it into your business

Data pipelines, connectors, dashboards and automations on your own infrastructure. Intellectual property in your company, not another subscription.

Upskill your team

Over three to six months we work alongside your people, so they are confident with the tools and can extend them after we step back.

Secure and accountable

Your data stays where you decide, under UK data protection law, with a named specialist accountable for every system we deliver.

FAQs

Questions we're often asked about AI & Data Consulting.

What kind of problems do you take on?

The ones that have quietly held the business back: product or pricing data that isn't good enough, reporting nobody trusts, search performance that has stalled, compliance or supplier checks that eat a team's week. If it involves data and repetitive effort, it's usually a good candidate.

How long is a typical engagement?

Usually three to six months. That's long enough to build something real and short enough to stay focused, and it ends with a handover so your team can run and extend what we've built.

Don't AI connectors hallucinate?

The connectors (MCPs) only collect data from your systems' APIs and store it in a database, so the data is deterministic. The AI writes queries against it and explains the results, and it can always show you the raw numbers so you can check the working.

Who owns what you build?

You do. Code, data and documentation live in your accounts and on your infrastructure, so the capability stays in your business after the engagement ends.

Do our people need to be technical?

No. We train people around their real work, at their pace. Some will go on to build their own small tools; others just need to trust and use what we've built.

Platforms we connect

All platforms

Related projects

Where we've done this.

Website & Search

Full website rebuild, SEO/AEO and CRM integration

Zinc Roofing Company

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Mobile PageSpeed 45 → 90

Full rebuild on Wagtail CMS

SEO and AI answer engine optimisation

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Supply Chain Compliance

Supplier & subcontractor compliance management platform

Supplier compliance platform

Automated compliance monitoring for suppliers and subcontractors, so staff only ever engage those who are properly onboarded and meet the required standards.

Automated compliance monitoring and tracking

Supplier and subcontractor logins with reminders

Internal search for compliant suppliers

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Compliance