Forecast as a conversation, not a spreadsheet
Run a cloud forecast handshake that combines historical spend, demand drivers, and team-owned changes.
The move: forecast drivers, not just dollars. Cloud forecasts fail when they are treated as finance-only extrapolations. Recent spend matters, but cloud usage changes when teams launch features, run experiments, migrate data, change retention, adopt AI models, or buy commitments. The forecast must connect financial rhythm to technical reality. Use a three-layer forecast. First, create a baseline from normalized recent spend. Second, list known drivers that will move spend up or down. Third, create a handshake: every meaningful assumption has an owner, evidence, date, and refresh cadence. That turns the forecast into a live operating artifact. The goal is not…
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