AI Automation Consultant UK
AI automation for UK businesses that need commercial results
I help mid-market businesses find, build, and embed AI automation where it saves time, improves control, connects systems, and gives leadership better information.
Finance forecasting proof
See how automation can improve forecasting, reporting cadence, and leadership visibility.
ERP reconciliation proof
See how connected systems can remove repeated manual reconciliation work.
Implementation approach
Review the four-phase method used to reduce delivery risk before work scales.
Built for leaders who need AI to work inside real operations
My background is finance leadership as well as hands-on technical delivery. That means the work starts with value, risk, process, and controls before a technical route is recommended.
Manual reporting, reconciliations, approvals, or spreadsheet work are slowing the business down.
Your ERP, finance, EPOS, CRM, or operational systems do not talk to each other cleanly.
You want AI and automation that ships into daily workflows, not a strategy deck that sits unused.
You need someone who can speak to the board and still build the working solution.
What This Covers
From opportunity audit to working automation
AI automation opportunity audit
Map the highest-value processes, rank use cases by impact and feasibility, and separate genuine AI opportunities from simpler automation wins.
Workflow automation build
Design and deliver automations that remove repetitive work from finance, operations, reporting, approvals, and customer service processes.
Finance and ERP intelligence
Connect data from ERP and finance systems into better reporting, reconciliation, forecasting, and decision support.
Governance and handover
Put sensible controls around AI use, document what has been built, and leave your team confident to operate it.
A sensible route from idea to working system
AI automation should not become a grand transformation programme before it has proved itself. The best route is usually focused, commercial, and iterative.
- 1Understand the commercial goal, current process, systems, data, and constraints.
- 2Prioritise the automation opportunities that have a clear business case.
- 3Build the first useful workflow quickly, then improve it with real user feedback.
- 4Document, hand over, and agree the next sensible automation target.