Discover
Know what you have.
Agents, owners, and actions.
Enterprise authority layer
Control AI agents before they act.
AI agents are gaining authority across enterprise systems. Tegrix gives enterprises a deterministic layer to control consequential actions - before they execute.
Move money Change production Access sensitive data Change access Execute contractual obligations
Agents can reason probabilistically. Their authority should not be.
Enterprise authority layer
Financial authority
payments, commitments, journal entries, purchasing
Operational authority
production changes, infrastructure, critical operations
Data authority
sensitive access, movement, disclosure
Workforce authority
compensation, employment actions, privileged access
Contractual authority
agreements, obligations, external commitments
Before the action
Agent decidesTegrix evaluates authorityALLOW DENY APPROVAL STOPAgent executes
What Tegrix is
The Agent Control Plane for enterprise AI.
Discover the agents. Define their Authority Envelope. Enforce decisions before consequential actions execute. Capture the evidence.
Tegrix works across the environments where enterprise agents run -- without rewriting agents or replacing the platforms they run on.
The Evidence Ledger records the decision, the authority applied, and what happened next. How it attaches -> Architecture.
How Tegrix delivers it
Define
Set the Authority Envelope.
Authority, conditions, and approvals.
Enforce
Decide before action.
Allow, deny, require approval, or stop.
Context
Use live enterprise facts.
The context that determines whether action is permitted.
Ledger
Prove what happened.
Decision, approver, execution result, and evidence.
Why Tegrix
Your agents do not live in one platform. Neither can their authority.
Agents run across clouds, business systems and enterprise infrastructure. Tegrix provides one authority model across them.
Why an Enterprise Authority Layer? (PDF)Platform-built agents
AI platforms.
Business-embedded agents
Business applications and workflows.
Enterprise-built agents
Enterprise infrastructure.
Different agents. Different environments. One authority model.
Proof and next step
See it on one consequential workflow.
Pre-action enforcementHuman approvalSeparation of dutiesKill switchExecution evidence
Validated at live runtime boundaries across multiple cloud environments, with additional provider integrations expanding through the same authority model.
Decisions are evaluated at the runtime boundary itself -- no round-trip to Tegrix -- and fail safe by policy when anything is unavailable.
Different runtimes. One authority model.
Exact platform support -> Platform.See it on one workflow
Bring us one consequential agent workflow.
We will show you where Tegrix can allow, deny, require approval, or stop the action -- and capture the evidence.