📐 What AI can (and can't) do with numbers
Let's be clear before we start: AI is not your accountant. Do not ask AI to calculate your GST, prepare financial statements, or give you tax advice. It can make mistakes with arithmetic and knows nothing about your specific numbers unless you tell it.
What AI is excellent at is the communication layer around financial data:
AI is strong at: Turning numbers into plain-language summaries. Explaining what a financial result means for non-finance audiences. Structuring financial narratives for board papers. Drafting funder reports from bullet-point data you provide. Writing budget justifications and variation explanations.
AI is NOT for: Calculating figures (use a spreadsheet). Preparing accounts (use an accountant). Tax advice (use a tax advisor). Any calculation you haven't verified yourself.
With that clear — here's where AI saves significant time for the people who manage money in organisations that aren't large enough to have a dedicated finance team.
📝 Turning numbers into plain language
Board members, funders, and community stakeholders rarely have a finance background. The monthly financials that make complete sense to you can be impenetrable to them. AI can translate your data into language people can act on.
- 1Grab a recent P&L, cash summary, or any financial data you have
- 2Write the key figures as bullet points (revenue, costs, result, any big variances)
- 3Run the board summary prompt — paste your bullets in the [data] section
- 4Read critically: is every number accurate? Is the narrative fair to the actual situation?
- 5Edit what needs fixing. That's your first draft done.
📋 Funder reports that don't take all day
Grant reporting is the tax return of the NGO world — necessary, time-consuming, and dreaded by most people who have to do it. The structure is usually fixed by the funder, but the writing is yours.
AI can draft the narrative sections of a funder report in minutes, given the right inputs. The key is giving it enough specific information that the output is actually about your project, not a generic template.
📖 Annual reports people actually read
An annual report is both a legal requirement and a relationship document. Done well, it builds trust with your community, funders, and stakeholders. Done badly, it's a compliance exercise that sits unread in a PDF.
AI can help you move from "compliance exercise" to "genuine communication" without tripling the time it takes to produce.
The "facts first, writing second" workflow: Before using AI for any report, write your key facts and outcomes as rough bullet points. Don't try to polish them first. Paste those bullet points into AI. Let it do the structuring and writing. You then edit for accuracy and voice. This is consistently faster than trying to write polished prose from scratch.
🔒 Financial data and AI — the hard rules
- 1Pick a real upcoming report or the most recent one you had to write
- 2Write your key facts/outcomes as 5-8 bullet points (2 minutes max)
- 3Choose the appropriate prompt and run it with your bullet points
- 4Read the output: is it accurate? Does it represent the situation fairly?
- 5Note how long the draft took vs your normal process
Finance & Reporting complete
You now have AI-assisted workflows for board summaries, funder reports, impact statements, budget justifications, and annual reports.