AI in accounting and finance: less data entry, more analysis

An accounting team spends hours on tasks that do not need its expertise: copying, reconciling, rephrasing. AI speeds them up and gives back time for what does: analysing, advising, flagging.

Five uses that save time

Extracting data from documents

Invoices, expense claims, statements: an extraction tool reads the document and suggests the amounts, VAT and supplier. You validate instead of typing.

Commenting on the close

Give the assistant the month’s variance table and ask for a first draft of the comments. You correct the interpretation, it has done the formatting.

Summarising a contract

A lease, a supplier contract: the assistant pulls out the deadlines, revision clauses and penalties. You save a full read, not the check.

Explaining to management

Turning a dashboard into three clear paragraphs for a non-financial executive is often the longest task, and AI drafts it well.

Writing to suppliers and clients

Overdue reminders, requests for missing documents: a polite, precise first draft, to adjust to the relationship.

What you keep for yourself

A language model can get a calculation wrong or invent a reference. Every figure AI produces is checked against the source, and the accounting entry is still approved by a person. Judgement on a provision, a risk or a tax treatment remains the expert’s.

Data you never paste

Non-public financial data, salaries and bank details are never pasted into a consumer assistant. These uses need a tool whose data stays inside the company, what we call private AI.

Find out where you stand

Before choosing a course, the most useful step is knowing where you start. Our AI skills test asks questions matched to your role and tells you, in a few minutes, what you already do well and what would save you the most time. For a whole team, AI training for teams starts from your real tasks, not from a generic course.