Finance is document- and number-heavy, with no tolerance for error — so AI accelerates the admin while humans keep the controls. Here’s how UK finance teams can use AI in 2026. (dgm implements osFoundry as an independent partner.)
Where AI helps finance
- invoice and document processing;
- reporting and commentary drafting;
- reconciliation support;
- expense and transaction categorisation; and
- financial analysis.
AI handles the high-volume document and admin work so finance focuses on analysis, controls and decisions.
Figures need human checking
AI can accelerate processing and drafting, but it makes mistakes — so human checking is essential for figures and anything affecting accounts, tax or decisions. Treat AI as a fast first pass finance reviews, not an unchecked source of truth. Accuracy and controls stay human.
Financial data needs strict control
Financial data is sensitive and often includes personal data under UK GDPR. Keep it strictly controlled (self-hosting or an EU region), minimise what AI processes, and never paste confidential financial data into consumer AI. Data control is especially important in finance.
Integrate and ground
Integrating AI with your accounting/ERP and finance systems lets it process real transactions and ground analysis in real data, rather than working in isolation. Grounded, integrated AI is far more useful and accurate. (See RAG explained.)
Where osFoundry and dgm fit
dgm builds data-controlled finance AI on osFoundry: connectors to finance systems, retrieval over your data, human checking workflows, strict data control (self-hosting or an EU region — it publishes US/EU/JP regions, not a UK one), and audit. (See also our accountancy firms guide.)
dgm is an independent integration partner with zero integrations so far — no client claims. To scope a finance AI project, book a consultation with dgm. Not financial advice.