**In brief:** Finance teams get the most value from AI when it reduces preparation work around analysis rather than replacing accounting judgement. Good early uses include explaining verified figures, drafting variance commentary, summarising assumptions, preparing management-pack narratives, checking documents for missing information and turning recurring spreadsheet work into more consistent workflows.
What is someone searching for when they look for AI in finance?
The search is rarely about artificial intelligence as a subject. A finance manager is usually asking whether AI can shorten reporting cycles, reduce spreadsheet handling, improve forecasting preparation or help colleagues understand the numbers without weakening accuracy, confidentiality or auditability.
Where can finance teams use AI first?
- Variance commentary: draft explanations from figures that have already been checked against the source system.
- Management reporting: turn approved data and notes into a first-pass narrative for review.
- Forecast preparation: summarise assumptions, scenarios and known uncertainties without treating the model as the ledger.
- Reconciliation support: structure exceptions and investigation notes while calculations remain tied to the source data.
- Document review: identify missing clauses, inconsistent figures or questions for a human reviewer.
- Board and stakeholder communication: explain financial information in plain English after the numbers are verified.
What should never be delegated blindly?
Do not let an AI model become the source of truth for balances, tax positions, payroll, statutory reporting or material forecasts. Keep calculations tied to spreadsheets, finance systems or approved code; use AI to prepare, explain, challenge and summarise. A named finance owner should review anything that affects money, external reporting or management decisions.
How should finance buyers compare AI options?
Look at data handling, permissions, integration with the systems of record, reproducibility, audit trail, ability to cite or expose source material, and how easily the team can separate verified numbers from generated narrative. Central billing and company ownership also matter when multiple staff are moving away from reimbursed personal AI subscriptions.
Which AI Build route fits a finance team?
Use ChatGPT Business for governed analysis, drafting and explanation across the team. Use OfficeMaker where the bottleneck is structured Word, Excel, PowerPoint or PDF processing. Use AI assistants when the workflow needs controlled access to several systems and repeatable multi-step actions. For organisation-wide prioritisation, start with the AI Maturity Assessment.