How I built my own FP&A agent
A deadline nobody believed in, a modeling language, and a month of 14-hour sparring sessions — how I built my own FP&A agent whose token bill dropped 10–100x while the results got better.
A deadline nobody believed in, a modeling language, and a month of 14-hour sparring sessions — how I built my own FP&A agent whose token bill dropped 10–100x while the results got better.
Thirty years in IT, fifteen in FP&A — and one problem I couldn't solve: how to hand my modeling knowledge to another human. The answer turned out to be a language.
Infrastructure got Terraform. Data got dbt. BI got LookML and TMDL. Planning — the discipline where a wrong number costs the most — is still clicking. It's time for FML.
The interface has become the cheapest part of the planning stack. What remains — the model, the engine, the agents — is where the future of FP&A will be decided.