FORG gives engineering leaders per-team budgets, multi-level alerts at 50/80/100%, automatic throttling, and full attribution to every user, project, and adapter. Teams using FORG often target around 30–40% lower AI spend within 30 days — actual results vary by team and workflow.
Most teams discover their AI costs on billing day — after the damage is done. By then the invoice is locked, the overage is charged, and nobody knows which team caused it.
Real-time budget status across every team — from a single command.
Purpose-built controls that fit into existing engineering workflows — not another dashboard nobody opens.
Assign monthly or daily spend limits to any team, project, or individual adapter. Limits can be set in dollars or token counts — whichever maps to your planning model.
FORG fires notifications at configurable thresholds — default 50%, 80%, and 100%. Alerts land in Slack, PagerDuty, email, or any webhook. You decide who gets paged.
When a team crosses its hard limit, FORG queues or blocks further requests automatically. No engineering work required — the guardrail is enforced at the proxy layer.
Every inference is tagged with user, team, project, and adapter before it leaves the machine. Attribution is immutable — no retroactive guessing from log analysis.
30/60/90-day cost trends per team, model, and adapter. Spot which teams are accelerating spend before the bill arrives. Export to CSV, JSON, or your data warehouse.
One-click exports formatted for finance, board decks, and vendor negotiations. Includes model-level breakdowns, peak usage windows, and month-over-month delta.
Set your first budget in under 5 minutes. No infrastructure changes. Works with every major AI provider from day one.
Install FORG