SaaS Platforms
Governed AI execution across tenants, products, and workflows with enforceable policy, budget, and audit.
SaaS platforms run AI across multiple tenants, products, and workflows — but most do not control how those requests execute.
Keel introduces a single governed request model across your entire system.
Where SaaS Systems Break Down
- Policy logic drifts across services, features, and customer-specific integrations
- Budget enforcement is inconsistent across tenants and workflows
- AI requests execute before cost or policy is evaluated
- Audit and incident review require stitching together logs from multiple systems
What Keel Changes
Every request passes through a governed decision boundary before it runs.
- Permit decision before execution — Policy, tenant context, and budget are evaluated upfront
- One control surface across tenants — Shared infrastructure, consistent enforcement
- Budget enforced before spend — No post-hoc cost surprises
- Traceability matched to the surface — Managed execution captures execution, usage, and audit state directly; permit-first preserves the decision record first
What You Define
Keel enforces what you define.
- Tenant identity and project boundaries
- Budget rules and cost thresholds
- Allowed models and routing constraints
- What must be auditable later
Why It Fits SaaS Platforms
- Multi-tenant AI systems need a single control seam
- Policy enforcement cannot live inside every service
- Cost control and auditability must happen before execution, not after
- Teams avoid rebuilding policy wrappers for every tenant path