Engineering AI spend is growing 340% year-over-year, yet 72% of CTOs say they have no real visibility into how their teams use AI. FORG gives you the data layer your board is about to start asking for — team by team, model by model, dollar by dollar.
Your board approved AI tooling budget. Your engineers adopted half a dozen tools. The invoices are coming in. But when the board asks for ROI — what do you actually say?
FORG sits at the instrumentation layer — your engineers keep their existing tools, and you get the org-level view that was always missing.
Real-time view of AI spend across every team, adapter, and model. Slice by time range, department, or cost center.
Compare output quality vs. cost for every model your org runs. Identify where frontier models add value — and where they don't.
Per-engineer, per-license utilization scores updated weekly. Know which seats to keep and which to cut before renewal.
One-click PDF and CSV exports with spend, efficiency, adoption, and YoY trend. Formatted to drop straight into board decks.
Define allowed models, spend caps, and session limits per team. The Rule Engine enforces them automatically — no manual reviews.
Data-backed guidance on which model contracts to sign, which to drop, and how to phase in cheaper alternatives without quality regression.
Deploy FORG across your org in under a day. Engineers install the agent alongside their existing tools — no proxy, no configuration, no disruption to workflow.