EP 18: Stop Letting AI Write Your Month-End Commentary - Do This Instead

<p>&quot;Sales were down due to lower volume.&quot; If that&#39;s your month-end commentary, you haven&#39;t actually explained anything.In this episode, Ash, Kevin, and Hubert (all Chartered Accountants) break down why variance commentary is one of the most common finance outputs — and one of the easiest to do badly. This is where finance stops being reporting and starts driving decisions. They get into: </p><ul><li>Why &quot;movement is not an explanation&quot; — and who actually needs the why </li><li>How to think about your P&amp;L drivers by industry (zoos, construction, waste, FMCG, recruitment) </li></ul><ul><li>The Root Cause Ladder &amp; the 7 Whys — how to unravel what really drove the change </li><li>Ash&#39;s &quot;who said you can&#39;t change the P&amp;L?&quot; story — why nobody actually knew </li><li>How to use AI (Claude / ChatGPT) as a thinking partner WITHOUT outsourcing your critical thinking </li><li>Why bad questions get you bad AI outputs If you build month-end packs, this one you can apply immediately.</li></ul><p>-The out-of-the-ordinary factors that wreck your numbers — weather, seasonality, interest rates, 5-week months </p>