Six weeks ago I thought AI in finance meant faster reporting. 🤖📊 Six weeks later I see it as something better: better decisions, when the data is clean. ✅
I just wrapped a 6-week AI Finance Accelerator, and here’s what actually stuck:
🧹 AI doesn’t fix messy data. It magnifies it. Govern item names, units, and mappings first.
🧾 COGS has to tie to inventory, or margin is fiction. If the tie-out fails, pricing gets shaky.
🚨 Exceptions beat dashboards. Stockouts, aging, cost spikes, and fee leaks move cash.
📚 Rules beat heroics. A simple rulebook prevents the same cleanup every month.
🗓️ Cadence matters more than tools. Weekly beats month-end scramble, every time.

Most valuable tools I’ll keep using: #ChatGPT (Advanced Data Analysis), #Copilot / #PowerQuery, and lightweight automation to move clean data where it needs to go. ⚙️

💡Biggest mindset shift: I stopped asking “How do I analyze this faster?” and started asking, “What decision should this number trigger?” 💡

👉 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. 📈
Speed is nice. Trust in the numbers is better. 🤝