Finance & Planning
Consistent numbers across every model. One certified definition of revenue, margin, and variance across teams, applied the same way to budget vs. actual reviews and rolling forecast updates alike.
Get guided setupOne certified definition of revenue, margin, and variance
Finance and planning teams frequently work across multiple models and multiple systems, each with its own calculation of revenue, margin, or variance. QuaerisAI resolves these questions through a single certified definition, so a number used in one model matches what another model would show for the same question.
Query-time permissions respect finance’s existing access boundaries, so a certified answer is only available to the roles authorized to see it, the same as any other governed query.
Benefits
This agent framing helps finance teams work from one number across every model and every review.
- Time efficiency: Remove reconciliation work between models that should already agree.
- Consistent definitions: Revenue, margin, and variance are calculated the same way in every model.
- Traceable answers: Every figure traces back to its source ERP or financial system record.
- Governed access: Finance-specific access boundaries are enforced automatically.
- Audit readiness: Figures are traceable and reviewable without manual reconstruction.
- Consistent methodology: The same certified definition applies across every model and every team.
Problem addressed
Finance and planning teams often maintain multiple models, forecasting, budgeting, actuals reporting, each potentially calculating revenue or margin with slightly different logic. A rolling forecast that updates monthly is only as reliable as the definitions feeding it; when those models disagree, someone has to spend time figuring out why before the discrepancy can be resolved. Ad hoc reporting requests from leadership add another layer of manual reconciliation on top of the regular cycle.
A single certified definition, applied consistently across every model, removes that discrepancy at the source rather than requiring reconciliation after the fact.
What the agent does
- Resolves revenue, margin, and variance questions through one certified definition
- Enforces finance-specific query-time access boundaries
- Traces every figure back to its source ERP or financial system record
- Applies consistent logic across every model and forecast
- Produces an audit-ready record for every query
Why do this with AI
Financial model discrepancies are time-consuming precisely because tracing the source of a disagreement between models is manual work. An agent grounded in one certified definition removes the discrepancy at its source, since every model draws from the same governed logic.
Instead of spending review time reconciling numbers between models, finance and planning teams can spend it on the analysis those numbers are meant to support.
Who this agent is for
- Eliminate reconciliation work between forecasting, budgeting, and actuals models
- Trust that revenue and margin figures are consistent everywhere they appear
- Produce an audit-ready record without manual reconstruction
- Enforce finance-specific access boundaries automatically
- Apply one certified definition across every planning cycle
How it works
The agent resolves each question through the same governed pipeline as every other QuaerisAI agent: identity and permissions are checked first, the question is mapped to certified definitions, a governed query runs against the source data, and the result is returned with a full audit record attached.