“Everyone says we should use AI. We need a plan we can defend.”
AI consultancy for UK SMEs: know what to automate first.
Sound familiar?
The knot.
Your team loses time to repeated admin and disconnected tools, but you do not have a defensible business case for the first AI or automation project.
Tool demos make every workflow look easy. Real work contains exceptions, permissions, customer data and people who need to trust the new process. Choosing a product before mapping that reality creates an expensive pilot, another subscription and a team that quietly returns to the spreadsheet.
Three signs it’s this
- 01 Everyone has a list of AI ideas, and nobody agrees which comes first.
- 02 You have been sold tools before, and the work stayed the same.
- 03 You need a business case you can defend to a board, a partner or yourself.
T40 answer · AI & Automation Consultancy
The fix.
Ben Macdonald leads the assessment, drawing on 20+ years building businesses, systems and practical AI workflows. We observe how the work moves, quantify the current effort and failure points, then recommend the smallest useful intervention. You receive the assumptions and trade-offs, not a black-box tool recommendation.
After A ranked roadmap with value, effort and the first build specified.
What you get.
The deliverables, plainly listed. If it's not here, ask — we'll tell you honestly whether it's included.
- 01 A current-state process map covering people, tools, hand-offs, exceptions and the data involved
- 02 An opportunity register separating simple workflow fixes, AI-assisted work and ideas that should not be automated
- 03 A business case for each priority with transparent time, cost, risk and adoption assumptions
- 04 A ranked roadmap based on expected value, implementation effort, data readiness and reversibility
- 05 A tool and architecture recommendation covering ownership, integrations, security and ongoing running cost
- 06 An implementation brief, test criteria and handover plan for the first agreed workflow
How this one works.
No discovery phases that outlive the project. Just the steps that earn their place.
- 01 Watch the Work We talk to the people doing the task, examine the tools and follow real examples from start to finish. Exceptions, workarounds and approval points are recorded rather than designed away.
- 02 Find the Useful Interventions We separate process problems from technology problems, then identify where rules, integration, AI assistance or a simpler operating change could remove friction without removing necessary judgement.
- 03 Test the Business Case Current effort, error cost, build cost, running cost, risk and adoption are made explicit. Assumptions are marked as assumptions, and uncertain ideas are tested before they become a large commitment.
- 04 Specify the First Build You receive a sequenced roadmap and a build-ready brief for the first priority. T40 can implement it, work with your team or hand it to another supplier; the recommendation remains yours.
Why this matters
The point is operational improvement, not an AI badge. Ben’s work includes compliance dashboards that replaced spreadsheet-heavy reporting and AI workflows that reduced research from days to minutes. Those examples show the kind of friction T40 can address, but every saving on your roadmap is calculated from your own process before it becomes a claim.
Who this suits
- UK SMEs with repeated, rules-heavy admin across sales, finance, operations or customer service
- Owner-led teams that have bought AI tools but have not turned them into a dependable working process
- Businesses planning an AI pilot that need a business case, owner and test criteria before procurement
- Growing organisations whose disconnected tools and manual hand-offs are becoming a capacity constraint
When we would advise against it
- You already know the one workflow to fix. Go straight to the build, or a Systems Diagnosis if you want it checked.
- You want a report to sit on a shelf. Every roadmap we write ends with a build-ready first step.
Proof and useful reading.
Examples and practical guides that help you judge the work before starting a conversation.
The questions everyone asks.
If yours isn't here, ask it — we answer emails within 24 hours.
Q1 Do we need to know which AI tool we want?
No. Starting with a preferred tool often narrows the problem too early. We map the work, data, permissions and economics first, then recommend an approach. Sometimes the right answer is integration or a process change rather than generative AI.
Q2 Who leads the consultancy?
Ben Macdonald leads it. His published profile covers more than 20 years building businesses, leading teams, designing systems and implementing AI and automation for SMEs. The specialists needed for a particular integration join only after the problem is understood.
Q3 How long does the consultancy take?
A focused assessment and roadmap typically takes two to four weeks, depending on the number of processes, stakeholders and systems. We confirm which workflows will be observed and what decisions the final roadmap must support before starting.
Q4 How much should we budget?
Most Systems work starts with a Systems Diagnosis at £750: a workflow and systems map, the prioritised opportunities, a build-versus-buy recommendation and a costed next step. A wider assessment and roadmap across several teams is scoped and priced after that, with the range agreed in writing before work starts.
Q5 How do you handle sensitive business or customer data?
Data classification, access, retention, human review and supplier terms are part of the recommendation. We avoid sending data to an AI service by default and identify where legal, security or subject-matter review is required. Your existing policies and risk owners remain part of the decision.
Sound like your problem?
Tell us where it hurts. We’ll tell you honestly whether we can help — and what we’d do first.
First paid step · T40 Systems: Systems Diagnosis · £750