AI consulting and AI strategy for UK firms
An independent AI consultancy for small and mid-sized UK businesses. We audit where AI fits, build the workflows that earn their place, and train your team to run them.
ISO 27001 and ISO 9001 certified · working with UK businesses since 2020
Where AI fits.
Not every process needs AI. We help UK businesses find the ones that do.
Most of the value we find sits in ordinary work: the hours your team spends on tasks a system could draft, check or route. An AI strategy that starts from the technology tends to stall, so ours starts from your processes and works back to what is worth building. That is what AI strategy consulting means in practice for an SME: an ordered list of workflows worth changing.
We size engagements for small and mid-sized businesses: AI that sits on top of the tools you already use, whether that is Microsoft 365, your CRM or your case management system, rather than builds that need a dedicated data team to run. If a use case needs a data platform you do not have, it goes on the later list rather than into the plan.
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Time-intensive manual work
Data entry, document processing, report writing and the copy-paste between systems. If a task follows rules someone could write down, it is usually the first place AI pays back. In most audits this is where the first workflow comes from, because the before and after is measurable within a month.
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Error-prone handoffs
Work that moves between people, inboxes and spreadsheets picks up mistakes on the way. We map where accuracy breaks down and whether a system should be catching it; the fix is often a checking step rather than a rebuild, which is why the mapping comes before any proposal.
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Bottlenecks one person owns
The report only one person can run, the approvals that wait on a single inbox. AI does not replace judgement, but it can clear the queue that builds up behind it, and clearing the queue also removes the single point of failure that surfaces every time that one person takes a holiday.
What the audit hands you.
AI Audit and Transformation is fixed-fee and fixed-scope. The audit produces a written report and a prioritised 12 month roadmap, and the transformation integrates the first workflows into production. Both are written to stand alone, so the plan survives contact with your board, your IT lead and your data-protection officer.
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Process analysis and time mapping
Where the hours actually go, measured across the workflows you nominate with the people who run them, so the case for change starts from evidence rather than opinion.
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Opportunity ranking
Every viable AI use case we find, ranked by payback and risk, with a clear line between what is worth doing now and what can wait.
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ROI and the business case
Costs and savings for the shortlist, with every assumption written down, in a form your board can interrogate.
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Prioritised 12 month roadmap
Ordered by payback: what to build, what to buy, what to leave alone, and who does what in the first four weeks, with the dependencies named so an internal team could run the sequence without us.
The assessment is independent and builder-neutral. Our recommendation stands whether or not you build with us. If we believe another route would serve you better, we will say so.
AI strategy consulting, grounded in an audit.
Teams shopping for AI strategy consulting usually want what the audit produces: a costed view of where AI is worth doing in your organisation, ordered so the first move is obvious. That view is the prioritised 12 month roadmap, and the team that writes it is the team that builds from it.
Strategy work here comes out of the audit, and like the audit it is not sold on its own. We measure your processes instead of reasoning from a sector template, so what comes back names the workflows worth changing and what has to be true before any of them can start. Costs and returns sit against that shortlist with the assumptions written down, which tends to be the part a finance lead reads first.
What keeps a plan specific is that the same people have to build the first of it. One workflow goes live inside the same engagement, chosen for payback rather than for how well it shows in a demo, and what we learn putting it in changes the order of what follows. Where the roadmap runs past that first rollout, an Embedded AI Lead takes it on with your team.
There is an honest case for not buying strategy on its own. If what you need is a paper that lets a board decide, that is a reasonable thing to commission, and you should commission it from whoever writes the clearest one. What a document cannot settle is whether the first workflow can actually be built inside your systems and your permissions, and that answer only appears once somebody tries. It is a fair test to put to any strategy work, ours included: who builds the first thing in it, and when.
What the assessment covers, and what you keep at the end of it, is set out on the AI Audit and Transformation page.
How the four weeks run.
The audit is never sold on its own; audit and first rollout run as one engagement, four weeks from kick-off to handover.
Week one
Audit
We sit with the people who do the work and map where the hours go. The opportunity shortlist takes shape in the first week, and you see it as it forms. Where a risk register or a data-protection review is needed, the audit says so and that work is scoped into the engagement.
Weeks two and three
Rollout
The workflows that earned their place go live on your existing systems, inside your existing permissions and data protections. Nothing is stood up that your team cannot see into, and where a workflow needs sign-off from compliance, that conversation happens here, with documentation they keep.
Week four
Training and handover
Hands-on sessions calibrated to each role, and a workflow-authoring walkthrough so internal champions can keep adding use cases after we leave. Handover includes the written report, so the decisions survive the people who made them.
Most engagements start with AI Audit and Transformation, and what follows depends on what it surfaces. Many teams take on an Embedded AI Lead to keep the work moving, and some commission a Bespoke Build where nothing off the shelf will fit. The flow is a sequence rather than a menu: each step exists because the one before it surfaced the need.
Three questions we hear first.
Where should we start with AI?
Start with the workflow that costs you the most hours. The audit exists to answer this question with evidence: it measures where time goes, ranks the opportunities by payback, and hands you a first rollout rather than a slide deck. Starting points differ by sector, but the pattern holds: one workflow, proven live, then the next. It is also where AI implementation stops being abstract. OpenKit becomes your business’s embedded AI team: the people who ran your audit stay on to deliver your 12 month roadmap.
Should we build or buy?
Buy when an off-the-shelf tool genuinely fits your process, build when the fit would cost you the process itself. Our AI strategy work treats this as an economic question, not a technology preference: licence costs against build costs, switching risk against ownership. Because OpenKit builds as well as advises, the recommendation comes priced from the team that would do the work. The wrong answer costs more than the tool, because a bought system that almost fits your process quietly reshapes the process around itself.
How do we get our team ready?
Readiness comes from training the team you already have. Every engagement ends with role-calibrated training and a named internal champion who can author workflows without us. Teams that have never used AI before are the normal starting point, and the four-week shape assumes it. The measure of readiness is simple: your team can add the next use case without booking a call with us.
AI consulting in your sector.
Sector rules change what a safe rollout looks like. The audit lands differently in a legal practice than on a factory floor, and the industry pages show the shape it takes in each.
- Legal Document-heavy work under SRA obligations, from bundle review to precedent search
- Healthcare Clinical settings and NHS data rules, where the DSP Toolkit shapes what a rollout can touch
- Financial services FCA-regulated workflows, where every automated step needs an audit trail
- Insurance Claims, underwriting and audit trails, where evidencing a decision matters as much as making it
- Education School data and teacher workload, from marking time to parent correspondence
- Manufacturing and mobility Operations, inspection and engineering data, where the records outnumber the people
- Recruitment and HR Candidate pipelines and people data, screened without losing the human decision
Work in regulated sectors is designed to operate under the frameworks you answer to, whether that is the SRA, the FCA or the NHS DSP Toolkit, and your compliance team is welcome at the first call.
Where we work.
OpenKit is based in Cambridge and works with clients across the UK, on-site where it helps and remote where it does not. In-person sessions are a train ride rather than a project cost, and the work itself runs wherever your team sits.
ISO 27001, ISO 9001 and Cyber Essentials certified, and we operate to UK GDPR.
ISO 27001 Information security, certified since Nov 2024 
ISO 9001 Quality management, certified since Nov 2024 
Cyber Essentials UK government-backed controls, checked against the NCSC scheme Teams comparing enterprise AI transformation consultancy options tend to ask who actually does the work. OpenKit staffs the engagement throughout, and it runs on a fixed fee agreed before it starts.
Our success stories.
“OpenKit has been instrumental in helping our marketing business navigate the opportunities and risks presented by the latest advancements in Generative AI and related technologies.”
“OpenKit’s team remained focused on our objectives and was able to consistently prioritise the needs of our communities … not only effective but also a genuine pleasure.”
“Their team quickly understood the unique challenges of our business … and delivered a thorough, evidence-based strategy.”
One workflow is enough to start. Get in touch
FAQ
What does an AI consultant actually do?
An AI consultant looks at what you do day to day, works out which parts of it AI can usefully take over, and helps you set those changes up safely. In practice that means sitting with the people who run your quoting, reporting, document handling or customer correspondence, measuring where the hours go, and then configuring or building the systems that give those hours back. At OpenKit that runs as AI Audit and Transformation, a four-week engagement where the audit and the first rollout happen together. Teams that want ongoing support afterwards take on an Embedded AI Lead, and where something genuinely custom is needed it becomes a Bespoke Build.
How do I know if my business needs AI consulting?
If your team spends hours every week on repetitive manual work, or you keep hearing “we should be using AI for this” but nobody has time to work out where to start, that is usually the moment a consultant pays for itself. The engagement is designed for exactly that situation: you suspect AI could help but do not yet know which use case is worth starting with, or what a sensible rollout looks like in your sector. There is also an honest counter-case: if your processes are already lean and your team spends its time on judgement rather than repetition, an audit may tell you to wait, and we would rather say so in week one than bill you to discover it slowly.
How does AI consulting work for small and mid-sized UK businesses?
Differently from how it works for enterprises. SMEs need use cases that pay back quickly and do not require a dedicated data team to run them, so we focus on AI that sits on top of the tools you already use, whether that is Microsoft 365, your CRM or your case management system, rather than green-field builds that need a year before anyone sees value. The four-week engagement is sized for SMEs specifically: fixed fee, workflows live by week three. The other difference is who has to run it afterwards. Enterprise rollouts assume a platform team on the other side; ours assume the person who runs the workflow today will still run it next month, with AI doing the repetitive share.
How long does an AI audit and rollout take?
AI Audit and Transformation takes four weeks. We spend the first week auditing your processes, the next two configuring and rolling out workflows, and the last week training your team and handing over. Four weeks holds because the scope is fixed before we start; what moves a timeline is rarely the technology but access to the people who do the work, so those sessions are booked in the first week. Bespoke Builds run longer and are scoped after the audit, once we both know what is actually worth building.
How much does an AI consulting engagement cost?
AI Audit and Transformation is fixed-fee and fixed-scope, so you know what you are committing to before you start. Ongoing Embedded AI Lead support runs as a monthly retainer, and Bespoke Builds are scoped and quoted after the audit. We do not publish prices, because the honest number depends on scope; the first conversation is where you get it. What moves the number is the count of workflows in scope and the depth of the data-protection work your sector requires, both agreed in writing before the engagement starts.
How do I compare AI consultancies when they all claim similar expertise?
Three things tend to separate signal from noise. Ask to see real working systems they have shipped, not slide decks of what they could theoretically build. Check whether they hold security certifications relevant to your data, with ISO 27001 as the baseline for any commercial AI work. And ask who actually does the build, since many large consultancies sub-contract delivery while keeping the senior names on the proposal. At OpenKit the team that pitches the work is the same team that builds it. A fixed-fee, fixed-scope engagement is a useful filter in itself: a firm that cannot scope your work up front is telling you something about how well it understands the work.
Do you build the AI systems or only advise?
Both. The team that runs your audit also builds whatever comes out of it: searchable, cited answers over your own document library, workflow automation in the tools you already use, or custom internal apps. Everything sits on top of your existing storage and identity stack rather than a separate one we have to spin up. Where a genuine product build comes out of the audit, it is scoped as a Bespoke Build with its own fixed quote, and the findings carry straight into it rather than being re-discovered at day rates. We do not hand you a strategy deck and walk away.
What if our team has never used AI before?
That is the most common starting point. The engagement includes hands-on training calibrated to each role, plus a workflow-authoring walkthrough so internal champions can build their own AI workflows after we leave. The aim is that you keep adding use cases yourselves rather than calling us back every time. Training runs by role rather than as one all-hands session: the person approving invoices gets a different hour from the person drafting client letters, and by the final week your team is running the workflows in their own accounts, not watching ours.
How do you handle data security, GDPR, and regulated industries?
OpenKit is ISO 27001 and ISO 9001 certified and works to UK GDPR by default. Every implementation includes encryption, role-based access control, and documented data processing. For regulated sectors the work is designed to operate under your sector-specific obligations on top, whether that is the SRA for legal, the FCA for financial services, or the NHS DSP Toolkit for healthcare. Where client data is too sensitive to leave your environment, the same engagement can run on a private deployment, with the models operating inside infrastructure you control.
Do you work with London businesses?
Yes. A good share of our client base is in London, and we run audits and rollouts for London firms both on-site and remotely; the four-week shape does not change. OpenKit is based in Cambridge, close enough that in-person sessions are a train ride rather than a project cost, and the same engagement runs for teams anywhere in the UK.
What happens after the audit?
The audit half of the engagement gives you a prioritised list of opportunities, a risk register, a data-protection review, and a prioritised 12 month roadmap; the transformation half puts the first of those workflows live. From there you can continue with us, hand the plan to an internal team, or scope a Bespoke Build. Most teams take the roadmap straight into the transformation half of the engagement, because the workflows are already configured and the training is already booked; the plan is written so an internal team could run it instead. There is no requirement to continue with OpenKit. If we believe another route would serve you better, we will say so.
Guides.
- What does an AI consultant do? A plain definition
The job itself in plain language: what a consultant measures, what they hand over, and where the line sits between advice and delivery.
- What Is AI Consulting, and Do You Need It?
The long-form guide for UK businesses weighing it up, from the first symptoms worth acting on to what an engagement should hand back.
- How to choose an AI consultancy in the UK (and when to build in-house)
The comparison questions that separate firms which ship from firms which present, and the honest cases where hiring beats outsourcing.
- AI Development Cost in the UK: 2026 Guide
Sourced UK market rates for AI work, so the quotes you gather have something independent to stand against.
Not ready to talk? The free AI readiness check scores where you stand in about five minutes.
Find your first workflow.
We start with a conversation, audit where AI actually pays back, and build the first automation into how your team already works.
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