Six weeks ago I thought AI in finance meant faster reporting. π€π
Six weeks ago I thought AI in finance meant faster reporting. π€π Six weeks later I see it as something better: better decisions, when the data is clean. β
I just wrapped a 6-week AI Finance Accelerator, and hereβs what actually stuck:
π§Ή AI doesnβt fix messy data. It magnifies it. Govern item names, units, and mappings first.
π§Ύ COGS has to tie to inventory, or margin is fiction. If the tie-out fails, pricing gets shaky.
π¨ Exceptions beat dashboards. Stockouts, aging, cost spikes, and fee leaks move cash.
π Rules beat heroics. A simple rulebook prevents the same cleanup every month.
ποΈ Cadence matters more than tools. Weekly beats month-end scramble, every time.
Most valuable tools Iβll keep using: #ChatGPT (Advanced Data Analysis), #Copilot / #PowerQuery, and lightweight automation to move clean data where it needs to go. βοΈ
π‘Biggest mindset shift: I stopped asking βHow do I analyze this faster?β and started asking, βWhat decision should this number trigger?β π‘
π Practical result: I built a repeatable workflow that turns data into a weekly KPI snapshot (turns, days on hand, aging, stockouts, true margin) with first-pass commentary drafted in minutes. π
Speed is nice. Trust in the numbers is better. π€