AI in the enterprise fails in two predictable ways: pilots that never touch real workflows, and deployments that ignore the controls finance and audit depend on. We do neither. We integrate AI where it demonstrably saves hours or improves decisions — grounded in your ERP data, inside your security boundary, with a human accountable for anything that posts, pays or promises.
Our position is deliberately conservative: AI drafts, summarises, extracts and predicts; your systems and your people decide. That is what makes AI adoption survivable in an audited enterprise — and it is why our AI work starts from the ERP outward.
Our approach
- Use-cases triaged by value and risk. We rank candidates by hours saved and control impact — the first deployment should be boring, useful and safe.
- Grounded on your data. Assistants answer from your documents and ERP records, with access control intact.
- Human-in-the-loop where it counts. Anything touching postings, payments or external commitments keeps an approval step by design.
- Measured results. Baseline before, measure after — cycle time, hours returned, error rates. If it doesn't move, we say so.
Typical engagements
- AI assistants over ERP, reporting and policy documents for finance and operations teams
- Intelligent document processing: invoices, purchase orders, delivery notes and contracts
- Machine-learning forecasting for cash, demand and inventory
- Workflow automation combining RPA, APIs and LLMs across the back office
What you can expect
- Hours returned to teams every week, measured against a baseline
- Faster document cycle times with fewer keying errors
- AI your auditors can live with — controls intact, decisions traceable