Generative AI for Finance - What Actually Works Today
Generative AI can draft reports and summarize trends in plain English. Here's what's reliable today, and what still needs a human check.
What Generative AI Adds to Finance Software
Definition-first: distinguishes generative AI (drafting narratives, summarizing, answering questions) from predictive/analytical AI (forecasting models).
Where Generative AI Is Genuinely Useful in Finance
Concrete list of proven use cases.
Auto-Drafted Board Commentary
Turning raw numbers into a narrative a board can read quickly.
Plain-English Answers to Finance Questions
Letting a founder ask a question instead of building a report.
Summarizing Variance Explanations
Explaining why a number moved, not just that it moved.
Where Generative AI Still Needs a Human Check
Honest limitations: numeric accuracy risk, hallucinated context, regulatory/compliance language - key E-E-A-T section for a YMYL topic.
How Thing Uses Generative AI Responsibly
Explains Thing's guardrails - generative layer explains numbers computed by deterministic financial logic, not invented by the language model itself.
