Agentic Control Plane

Govern AI the way you govern any production system.

Identity. Policy. Lifecycle. Approval. Versioning. Rollback. Audit. The control plane is the layer that turns agentic AI from an experiment into an enterprise system.

Controlled Objects

The control plane governs the production surface of agentic AI.

Agents

Definition, version, scope, policy assignment, lifecycle state, and deprecation.

Prompts

Central repository, versioning, promotion flow, rollback, and approval history.

Tools

Registration, scoping, role-based execution permissions, abstraction, and validation.

Datasets and knowledge sources

Document classification, document-level access control, refresh status, retention, and retrieval policy.

Plugins

Role-based execution and modification controls; isolation between workspaces.

Models

Provider routing, model pinning, fallback chains, and cost-aware selection.

Workspaces

Departmental and tenant isolation with quotas, cost views, and access controls.

Identities and roles

Fine-grained RBAC for agent authors, prompt editors, deployers, approvers, auditors, and viewers.

Lifecycle States

Lifecycle, not just deployment.

Every agent, prompt, tool, and dataset moves through formal lifecycle states. Promotion is gated by approvals, policy checks, and Haluvance enforcement checks where configured.

01

Draft

Authoring stage. No production traffic. Editable by author and contributors.

02

In Review

Submitted for review. Reviewers receive notifications based on role and workspace policy.

03

Approved

Reviewer-approved but not yet receiving production traffic. Available for staging.

04

Production

Receiving live traffic. Modifications require a new version and a new review cycle.

05

Deprecated

Marked for removal but still serving for a defined transition window. Triggers stakeholder notifications.

06

Retired

Removed from active service. Definition retained for audit purposes per retention policy.

Approval Workflows

Promotion is explicit, reviewable, and reversible.

Single approver

One designated approver signs off changes within a workspace or capability area.

Two-key approval

Two approvers are required for production prompts, sensitive tools, or model changes.

Conditional approval

Approval requirements change based on the scope and risk of the change.

Quorum approval

N-of-M review is available for cross-departmental workflows.

Next Step

Walk through the governance layer before you deploy agents.