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 "approved models."

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. Policies inherit. Spend rolls up. One dashboard, every team, zero surprises.

• Nested budget limits — org cap overrides team overrides individual
• Policy inheritance — org-level model blocklist propagates down
• Real-time spend alerts at every hierarchy level
• SCIM auto-provision new employees into correct team automatically

• 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: day-1 access for new hires, instant revoke on off-board
• Model allowlist enforced at the proxy — unapproved models never reach the API
• Immutable, hash-chained audit trail satisfies SOC 2 and ISO 27001 requirements
• Budget rollup: org → team → individual, alerts before overrun
• BYOK + data residency gets security review approved in days