It's budget season, and finance teams are being asked for an AI number for FY27. The category did not exist in the last three budgets, there is no benchmark to anchor to, and the fallback is a percentage bump on whatever got spent this year. That number does not survive the first question from a CEO or a board.

Andy Woods (Head of Product, DualEntry) opens with the actuals: what mid-market finance teams really spent on AI over the past year, broken down by vendor and category, including the spend that never went through finance. Albert Gozzi (Co-Founder & CEO, Aleph) then takes that data live into a spreadsheet and builds a driver-based FY27 forecast on top of it: seats that scale with headcount, usage costs that scale with volume, category rollups, and scenario toggles. Open Q&A throughout, no slides-heavy pitch.

Designed for finance leaders and finance teams at Series A through pre-IPO companies: CFOs, VPs of Finance, FP&A leads, and controllers who owe someone an AI number before the FY27 budget locks.

Join in on the discussion to learn:

• What comparable companies actually spent on AI this year, broken down by vendor and category
• Which AI costs behave like headcount, which behave like usage, and why that changes how you model them
• How to build a driver-based AI forecast instead of a flat percentage bump on last year
• How to structure the AI line so it holds up in front of your CEO and your board
• Where AI spend shows up outside the finance-approved stack, and how to catch it before it compounds
• How to build scenario toggles for the aggressive and conservative FY27 cases
• Where to put AI in your chart of accounts so next year's actuals are actually reportable

Plus, much more...