Finance is being asked to close faster, forecast more often, and answer the board in real time, and AI is only now capable of doing that work instead of just summarizing it. That's why now is the moment to move FP&A off manual reconciliation and onto a governed, automated foundation.
FP&A teams have spent years investing in ERP, EPM, automation, and BI. Despite that, the recurring work still happens by hand: exporting data, updating spreadsheets, reconciling numbers, rebuilding reports, and chasing down inputs and approvals. AI can speed up any one of those tasks, but the work of automating FP&A requires more than just bolting on a copilot system into every system in the stack. This is because FP&A teams still need to have a governed foundation where data, business logic, workflows, and AI can work together.
Join us to see how how finance teams are automating the recurring work behind FP&A with Sigma, including mappings, allocations, reconciliations, and reporting.
You'll learn how to:
- Reduce manual work and spreadsheet handoffs across FP&A
- Automate recurring finance processes on governed, live data
- Use AI to analyze variances, draft commentary, and surface exceptions
- Capture inputs, workflows, and approvals alongside the data
- Shift time from producing the numbers to analyzing and deciding what to do with them
