Lana Korzhuk
Founder & CEO · LinkedIn
With 20+ years progressing from senior developer to Chief Operating Officer, Lana brings deep expertise in IT systems, ERP implementation, and operational strategy.
AI Consultancy Cost in the UK and London: What to Budget

What should a UK or London SME budget for AI automation?
For planning, a focused workflow prototype is £3,000 to £8,000, production automation is £8,000 to £25,000, and ongoing running costs are £50 to £500 a month. These are planning bands for our UK SME work, including London, rather than market averages or a quote for your business. We quote a fixed fee after understanding the workflow, systems, volume and risks.
| Work | Planning band | What you are budgeting for |
|---|---|---|
| Focused workflow prototype | £3,000 to £8,000 | A bounded workflow tested on representative data |
| Production automation | £8,000 to £25,000 | Integration, exception handling, testing, monitoring and handover |
| Ongoing running costs | £50 to £500 a month | Hosting, model/API use and monitoring at the agreed volume |
VAT, third-party licences and unusual infrastructure requirements may be separate. The quote states what is included. The pricing page explains the same bands; use this guide to decide what work belongs inside your scope.
A prototype answers a question. Production supports daily work.
A prototype tests the hardest assumption before a larger commitment. Can the workflow handle representative inputs? Can the required systems exchange the information? Can your team review the exceptions? A small working version helps you answer those questions.
Production work makes the workflow dependable in everyday use. That means more than a successful demonstration: access controls, integration failures, duplicate inputs, exceptions, monitoring, documentation and handover all need attention.
Ask which of those things a proposed pilot includes. A prototype price and a production price describe different work. Do not assume that paying for a prototype includes a live rollout, or that a prototype must progress to production. Agree how the results will support a stop, change or proceed decision.
What moves the quote within a band?
Start with the process your team actually follows, including the awkward cases. The main scope questions are:
- Systems: Which systems must read or write data, and what access do they support?
- Inputs: How much do documents, messages or records vary? Which information is missing or unreliable?
- Decisions: Which rules can be written down, and which decisions need a person?
- Exceptions: What happens when a match fails, a record is duplicated or an output is uncertain?
- Controls: Who can use the workflow, approve outputs and see the audit record?
- Handover: What training, documentation and support will the team need?
Two businesses can describe the same task while needing different systems and controls. Those details explain the quote more usefully than a day rate or an assumed London premium. Ask for the assumptions behind the price, including what happens if they change.
Keep running costs separate from the build
A fixed implementation fee does not remove ongoing operating costs. The planning range of £50 to £500 a month covers hosting, model/API use and monitoring, with the actual amount dependent on volume and the agreed setup.
Ask what that estimate includes and whether other licences, maintenance or support are separate. Understand how costs change as usage grows and who checks them. Compare options using the same scope and volume, rather than comparing a build-only quote with one that includes ongoing work.
Use project evidence without turning it into a promise
Our published invoice-matching case study reports 75% of staff time saved, 65% less manual processing within 90 days and approximately £80,000 annual saving. These figures belong to one implementation. They are not averages across our clients or a forecast for your business.
The case study does not establish what your project will cost. Use it to understand the workflow and measurement approach, then establish your own baseline before estimating a return.
Calculate the value using your own inputs
Measure the total weekly hours your team spends on the workflow, including review and rework. Count each person's time once. Then estimate the reduction in that total after automation, allowing for the checks and exceptions that remain.
Monthly hours released = weekly hours × reduction fraction × 4.33.
Monthly capacity value = monthly hours released × fully loaded hourly cost.
The 4.33 factor is approximately 52 weeks divided by 12 months. The reduction fraction is your assumption to test, not a standard coverage percentage. Replace it with measured pilot results when available. The Workflow Savings Calculator helps you work through those inputs.
Released time creates capacity. It becomes a cash saving only when spending actually falls, such as reduced paid overtime or an avoided external cost. For a cash payback calculation, use:
Monthly net cash benefit = evidenced monthly cash savings minus additional monthly running costs.
Payback months = implementation cost divided by monthly net cash benefit, if that benefit is positive.
For a chosen period, cash ROI is cash benefits minus total implementation and running costs, divided by those total costs. Multiply by 100 to express it as a percentage. Keep capacity value separate. Add error-related benefits only when measured and not already counted in the baseline.
What should be agreed before paid work starts?
The proposal should identify the workflow, deliverables, integrations, exclusions and success measures. It should state the fixed fee, the treatment of running costs and the assumptions that could change the scope.
Agree who supplies access and representative inputs, who tests the result, and how exceptions are handled. Decide how changes will be approved and priced. That gives both sides a concrete basis for the work instead of an open-ended expectation that AI will improve everything.
Get a scoped answer for one workflow
If you are still choosing a starting point, use the AI Readiness Assessment. If you have a process in mind, send us the workflow, its rough volume and the systems involved. We can discuss what needs to be checked before a project is scoped.
Frequently Asked Questions
Common questions about this topic, answered briefly.
How much does AI workflow automation cost for an SME?
See your numbers before you spend a penny
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