"Your data is good to go. Customer comes into Hub Analytics and starts chatting with the chat bot to ask questions about the data, get visualized charts and graphs, and really have kind of this virtual CFO experience, which is cool." -Tommy Vincent Tommy Vincent, Co-Founder and Chief Revenue Officer at Hub Analytics, returns to explain how AI is reshaping analytics, advisory, and the bookkeeper's role. He shares how data diagnostics improve pricing confidence, why early forecasting matters, and how AI tools give clients clearer financial insight without added complexity. In this interview, you'll learn: How AI checks bookkeeping work in seconds & catches errors early Why forward-looking analytics matter more than past reports How to deliver CFO-level insight without becoming a CFO To learn more about Hub Analytics, click here. Connect with Tommy on LinkedIn. Time Stamp 00:00 - How AI scans bookkeeping data & flags issues 02:13 - Why AI fits naturally into accounting & finance 05:01 - Using AI to validate work & reduce review time 06:22 - Moving from historical reports to forward-looking insight 08:37 - Why many bookkeepers don't want to deliver CFO services 09:13 - How the Hub Analytics partner program works 11:45 - Using data diagnostics to check & price new clients 14:22 - Catching errors & unknowns before onboarding 16:10 - Why small businesses need forecasting earlier 19:36 - Cash flow forecasting & scenario planning 20:34 - Using AI chat tools as a virtual CFO 22:32 - Turning insights into real business decisions 25:02 - How bookkeepers stay connected to advisory work 29:57 - Making CFO-level insight affordable for small businesses 32:14 - How to get started with Hub Analytics

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