AI Revenue Intelligence System

Turns a $4.8M commit into a defensible number by naming the three deals carrying most of the downside.

A working revenue intelligence system for a fictional SaaS company. CRM opportunity data flows through seven deterministic risk signals — stale activity, stage aging, close-date slippage, missing next steps, amount movement, forecast-category inconsistency and unrealistic close dates — into an explainable risk score, a risk-adjusted forecast, and a CRO Monday Brief with recommended actions. Every threshold is tunable and the entire chain recalculates live. Includes the production architecture: where the deterministic layer ends and the LLM layer begins, and why that boundary is non-negotiable.