Quick answer
Financial planning and analysis automation software removes manual work from planning: it loads actuals automatically, rolls forecasts forward, drafts variance explanations, and generates reporting. The aim is to move finance from data plumbing to strategy so a lean team spends its time on decisions, not spreadsheet maintenance.
The manual work automation targets
In most finance teams, the vast majority of an analyst's time goes to moving and cleaning data: exporting, pasting, reconciling, and rebuilding. Automation attacks exactly that. When a month closes, actuals load and the forecast rolls forward without anyone copying a cell.
What to automate, in order
- Data consolidation. Auto-pull from the GL, Shopify, Amazon, and retail.
- Reforecasting. Roll the forecast forward with the latest actuals.
- Variance narratives. Draft the plan-versus-actual story for the analyst to refine.
- Reporting. Build the board and investor package from one source of truth.
Rule of thumb. Automate the plumbing before anything else. Every hour off data movement is an hour back for analysis, which is the work that changes outcomes.
The payoff
Automation shows up as speed and leverage. Brands on Drivepoint compress planning from weeks to hours and run finance lean, where one strong person replaces three, worth about $200K against a single hire. Mad Rabbit moved from multi-week quarterly forecasting to planning in hours.
Where Drivepoint fits. Drivepoint is the AI finance platform built exclusively for consumer brands. It consolidates Shopify, Amazon, retail partners, and your GL into one live model in Excel, then answers what-if questions in minutes. Customers improve EBITDA margins by 6.7 points on average in their first year, and one exceptional finance person with Drivepoint replaces three without it.