Enterprise AI Control Plane

Control AI agents before they act.

Tegrix gives enterprises one operating model for AI agents across Microsoft, AWS, Google, SaaS, and custom systems: inventory, context, Policy & Controls, real-time decisions, and evidence.

See agents, owners, identities, tools, and gaps across platforms.
Apply controls when an agent tries to export data, invoke tools, move money, change systems, or affect customers.
Keep the decision, evidence, and final execution state together.
Explore Platform

Example action

Customer data export.

An agent asks a tool to send a restricted file to an unapproved workspace.

Why Tegrix holds it

Restricted customer data
Unapproved destination
No approved exception

Decision returned

Deny export.

The tool is not allowed to send the file.

Record kept

Action, matched control, reason, owner, decision, and provider state.

Denied before execution
Evidence available
Decision recorded
Audit-ready history

Before enforcement

Know the estate before you govern the action.

Tegrix starts by showing what exists, who owns it, what context matters, and which controls are ready to decide runtime actions.

ISO/IEC 42001 - NIST AI RMF - Internal policies - Enterprise standards

Inventory

Agents, owners, identities, cloud platforms, and enterprise systems surfaced

Context

Data, identities, tools, policies, and authority boundaries resolved

Decision model

Approvals, denials, holds, and policy outcomes reviewed before enforcement

Evidence

Action, context, policy, outcome, and execution state retained

Evaluation path

Evaluate before you enforce.

Bring an AI workflow. See what Tegrix discovers before deciding what to enforce.

Evaluation

Evaluate before enforcement

Discover inventory

Understand what AI exists.

Build enterprise context

Connect owners, identity, data, and policy.

Evaluate runtime controls

Review approvals, denials, and outcomes.

Enable when ready

Move to enforcement with confidence.

  • Enterprise AI inventory
  • Ownership and policy gaps
  • Cross-platform decision model
  • Evidence package

Enterprise context

No single AI platform understands your enterprise.

Microsoft understands Microsoft. AWS understands AWS. Your enterprise spans all of them.

Enterprise decisions require enterprise context.

See Enterprise Context

Context record

Decisions need enterprise context.

Tegrix resolves who is acting, what is touched, which control applies, and what record must be kept.

Actor

Release agentService principal

Target

Deployment APICustomer tier

Control

Production approvalDecision evidence

Existing platforms keep running. Tegrix keeps the decision context across them.

Operating model

What good looks like.

  • Every AI agent has an owner.
  • Every important action has an authority boundary.
  • Every runtime decision has evidence.
  • Every platform contributes to one enterprise operating model.

Next step

Bring an AI workflow. We will show you how it is governed.

See how enterprise context, governance outcomes, execution state, and decision evidence work together in one enterprise control plane.