Services
AI automation services built for measurable business outcomes
Four focused ways to move from AI interest to working systems: strategy, workflow automation, finance intelligence, and team enablement. Each starts with the commercial problem and ends with something the business can use.
AI strategy consultant UK
AI Strategy & Roadmapping
A practical AI roadmap for leadership teams who need to know where AI is worth using, what to build first, what to buy, and how the investment will pay back.
Commercial Pain
You have seen the demos and pressure is building, but the business still lacks a prioritised plan, a proper business case, and a route from idea to implementation.
Commercial Outcome
A board-ready AI plan that ranks opportunities by impact, feasibility, risk, data readiness, and likely return.
Who it's for: Business owners, CEOs, CFOs, and leadership teams who need confidence before committing budget or distracting teams.
Typical Outcomes
- 90-day, 6-month, and 12-month roadmap with named priorities
- Use cases ranked by value, effort, systems dependency, and risk
- Commercial business case that a finance team can interrogate
- Clear decision points for pilots, tooling, governance, and delivery
Delivery Route
- 1Run a focused discovery workshop with commercial and operational stakeholders
- 2Review systems, data sources, reporting flows, and current manual work
- 3Model the opportunity size, delivery route, risks, and dependencies
- 4Deliver the roadmap, business case, and leadership presentation
Workflow automation consultant
Workflow Automation & System Integration
Automations that connect the systems already running your business, remove repeated manual work, and make operational processes more reliable.
Commercial Pain
Teams are exporting CSVs, re-keying data, chasing approvals, maintaining fragile spreadsheets, or relying on one person to move information between systems.
Commercial Outcome
Working automation that saves time every week, reduces error risk, and gives managers cleaner information without replacing core systems.
Who it's for: Operations, finance, and technology leaders who need ERP, EPOS, CRM, reporting, and workflow tools to talk to each other cleanly.
Typical Outcomes
- Manual handoffs removed from repeated finance and operations processes
- Data flowing between ERP, EPOS, finance, and reporting systems
- Exception handling and monitoring built into the workflow
- Documented process ownership so the automation can be supported
Delivery Route
- 1Map the current process, failure points, ownership, and workarounds
- 2Design the integration route using APIs, data exports, databases, or scheduled jobs
- 3Build and test the automation against real operating scenarios
- 4Deploy with monitoring, documentation, and handover
Finance automation services
Finance & Operations Intelligence
Finance automation, forecasting, reconciliation, and reporting tools built by someone who has owned the numbers, the close process, and the board pack.
Commercial Pain
Finance teams are still spending too much time assembling reports, reconciling data, explaining stale numbers, and producing analysis after the decision window has passed.
Commercial Outcome
Faster close cycles, cleaner reconciliations, better forecasting, and management information that leadership can use while it still matters.
Who it's for: CFOs, finance directors, and operational leaders who want finance to become a decision engine rather than a reporting bottleneck.
Typical Outcomes
- Month-end and reporting processes shortened with controlled automation
- Variance, stock, sales, and operational analysis available sooner
- Board packs and recurring reports generated from trusted source data
- Finance review retained where judgement and control still matter
Delivery Route
- 1Deep-dive the finance process, reporting cadence, and decision use cases
- 2Audit source systems, data quality, reconciliations, and ownership
- 3Build automated reporting, forecasting, or reconciliation workflows
- 4Refine with the finance team until the output is trusted and repeatable
AI training for business teams
AI Training & Enablement
Practical AI training for teams who need to use the tools confidently, understand the risks, and apply AI to real work rather than generic classroom examples.
Commercial Pain
People are experimenting with AI unevenly, policies are unclear, and the business has no shared view of what good, safe, useful AI adoption looks like.
Commercial Outcome
Teams that can use AI responsibly in day-to-day work, with enough governance to protect the business without stopping useful adoption.
Who it's for: Leadership teams, finance teams, operational managers, and business users who need practical confidence rather than technical theory.
Typical Outcomes
- Clear internal rules for safe and useful AI use
- Teams applying AI to real finance, operations, reporting, and admin work
- Internal champions identified for continued adoption
- Less dependency on external help for everyday AI use
Delivery Route
- 1Assess current skills, tools, concerns, and adoption gaps
- 2Design workshops around real business scenarios and data boundaries
- 3Run hands-on sessions with practical exercises and templates
- 4Follow up with governance guidance, office hours, or advisory support