FP&A

FP&A stands for Financial Planning & Analysis, the team responsible for budgeting, forecasting, variance analysis, and helping leadership make decisions with numbers. FP&A sits between accounting, which records what happened, and the executive team, which has to decide what happens next.

What an FP&A team actually does

The work runs on a repeating cycle. Actuals land after month-end close. FP&A compares them to plan, explains the gaps through variance analysis, updates the forecast for the rest of the year, and reports the result to leadership and the board. Alongside that cycle sits the annual budget, headcount planning, pricing and unit economics work, scenario modeling for a fundraise or a downturn, and whatever question the CEO asked on Tuesday.

Most teams also own a set of operating metrics that finance reports but does not generate: pipeline coverage, retention, utilization, churn. Owning the number without owning the system that produces it is where a lot of FP&A friction starts.

Where FP&A breaks in practice

Three failure modes show up repeatedly. First, the data problem: actuals arrive from the ERP, the CRM, the payroll system, and a few spreadsheets, and nobody can say with confidence which version is current. Second, the model problem: the plan is a workbook with hardcoded values buried inside formulas, so updating an assumption means hunting for cells rather than changing a driver. Third, the time problem: the reporting cycle consumes the month, so the analysis that would change a decision gets written the week after the decision was made.

Teams that escape this usually do two things: they move to driver-based planning so the model has explicit inputs, and they automate reconciliation so the numbers do not need to be re-verified by hand every cycle.

What good looks like

A strong FP&A function can answer three questions on short notice: what happened, why, and what happens if. Each answer traces back to a source record rather than to someone’s memory of how the workbook was built.

Rexfin reconciles source systems into one governed model, cites every figure back to the record it came from, and runs calculations deterministically, so the reporting cycle produces evidence rather than another version to check. Role scoping controls who can see and change what.