AI governance built for
organizations that can't cut corners

Your org has 12 teams using AI. You have no idea what any of them are spending.

Enterprise AI adoption is decentralized by default. Platform engineering, Product, Data Science, and every other team have their own API keys, their own spending habits, and their own interpretation of when to use each model.

Finance gets a monthly invoice. Security gets nothing. You only find out about the $40k month when it's too late.

FORG imposes an Org → Team → Individual hierarchy on top of every AI provider. Budgets cascade. Access settings inherit. Spend rolls up. One dashboard, every team, zero surprises.

• Nested budget limits — org cap overrides team overrides individual
• Budget inheritance — org-level spend limits propagate down
• Real-time spend alerts at every hierarchy level
• SCIM auto-provisioning available only in pilot/contracted rollout

• No visibility into who's using which models
• No way to enforce approved model lists org-wide
• Manual offboarding — forgotten API keys linger for months
• Audit trail gaps; impossible to reconstruct incident timelines
• Finance sees one bill; nobody knows which team drove it
• Security reviews block AI adoption for months

• Full org hierarchy — every team, every seat, every spend dollar
• SAML + SCIM (pilot): day-1 access for new hires, instant revoke on off-board
• Per-model visibility with spend attribution and budget enforcement
• Immutable, hash-chained audit trail supports SOC 2 audit evidence
• Budget rollup: org → team → individual, alerts before overrun
• BYOK + data residency (pilot/roadmap) can unblock security review