Real FP&A problems and the thinking behind the solutions, before any tool enters the picture. Practice articles open with the problem — the tool comes later, if at all.
Fifteen-plus years of TM1 taught me what makes a complicated financial model survive its builder. It turns out the same principles decide whether an LLM can understand your model, and whether an AI agent can maintain it without wrecking it.
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.
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.