AI for finance teams: close, forecast and explain
Finance work is full of repeatable analysis and narrative. AI can accelerate both, as long as accuracy and accountability stay with people.
By the Halden editorial team
Good starting points
Narrative and checking.
Drafting commentary on variances, summarising contracts and invoices, and explaining spreadsheet logic are practical early uses where output is easy to review.
Analysis with care
Method matters.
When AI analyses a spreadsheet, ask it to show the method and test a few figures by hand. Keep source data and calculations traceable for audit.
- Ask for the steps used.
- Recalculate a sample.
- Keep an audit trail.
Controls
Information and approvals.
Decide what financial data may enter which tools, require approval for anything external, and involve compliance early.
Show the value
Baseline first.
Measure the time taken for the close or a report before changing it, then compare. Share results with the team to build trust.
A next step
Turn this into a decision for your organization.
Explore how AI Implementation works with leaders and teams, or start with a short reflection on where you are today.