Does this sound familiar?
- Variance commentary rebuilt every cycle
- Forecast assumptions hidden in spreadsheets
- Too little time for scenario analysis
FP&A teams
AI for FP&A
Get from actuals to an executive-ready story while the numbers are still useful.
Build forecasts and variance analysis in a fraction of the time.
Level: IntermediateDuration: 3 hoursCertificate: In development
CLClaudeGPGPT
Turn familiar bottlenecks into repeatable AI workflows
Built around the real work and review pressures faced by fp&a teams.
What you'll learn
Forecasting with AI support
Building forecasts and variance analysis faster.
Narrative reporting
Turning numbers into a clear variance narrative.
You'll leave with
- 1A repeatable variance-analysis workflow
- 2Sharper assumption and scenario prompts
- 3A forecast narrative leaders can act on
Interactive lesson preview
See exactly what is taught.
Lesson 1 of 2Lesson preview
Forecasting with AI support
Building forecasts and variance analysis faster.
Guided practice
Apply the lesson to a realistic scenario designed for fp&a teams, with assumptions and the required output made explicit.
Review method
Inspect the prompt, model choice, evidence, exceptions and human-review point before improving the result.
Applied output
This path builds toward: Build a forecast and variance narrative from sample data
Workflows covered
Projects & assessments
- Build a forecast and variance narrative from sample data
Completing each project against the outcome above is this path's assessment — there's no separate exam.