AI governance your operators can run every day

Enterprise AI governance is an operating model

Governance is how legal, security, finance, and engineering agree on who may use which models, how spend is capped, and what evidence exists when auditors ask—not a one-time policy deck.

Enterprises adopting Connected Infrastructure face the same pattern as early cloud adoption: powerful execution, uneven controls at the application edge. Kimss provides a control plane product so AI governance becomes operable—workspace membership, RBAC, governed-request allowances, and API contracts your developers can actually integrate.

Kimss Inc. is a Delaware-registered company with primary operations in Israel, building software for teams that embed agents in their own products rather than reselling a generic chat UI.

Roles and accountability

Platform teams define workspace policy and vaulted endpoint routing; application teams consume governed APIs; security reviews Entra integration and data boundaries; finance tracks governed requests against departmental budgets.

Clear role separation prevents shadow AI. Workspace administrators manage members, keys, and allowances. Developers receive scoped credentials. Executives see usage trends without needing Foundry project access. This mirrors how mature organizations run Kubernetes or data platforms—central policy, distributed consumption.

Public documentation at /docs/api_docs describes the supported integration surface. Internal admin and SCIM routes remain explicit opt-ins documented for operators.

Risk controls that scale with adoption

Multi-tenant PostgreSQL isolation, workspace-scoped agents and files, spend caps, and optional gateway telemetry reduce cross-tenant leakage and runaway consumption—the two failures enterprises fear most.

Without a control plane, teams duplicate Foundry keys or disable limits to unblock demos. Kimss encodes boundaries in the product: requests carry workspace identity end to end, governed-request caps enforce budgets, and ledgers preserve history for investigations. Retrieval stays on the customer side.

Kimss does not claim certifications it has not earned. Position governance as architecture plus operable controls your team verifies in its Azure tenant.

From pilot to production

Start with a non-production workspace, migrate execution to /v1/agents/run, validate streaming and tool behavior, then expand governed-request allowances and Entra groups as workloads prove value.

The migration guide at /assistants-to-v1-migration outlines a compatibility-first sequence. Pair it with the Python SDK quickstart and architecture docs before enabling optional APIM gateway paths.

Enterprise sales at /enterprise can discuss dedicated capacity, onboarding, and contractual needs; self-serve teams begin at /pricing.

Frequently asked questions