Discover
Know the agent.
Identity and owner.
Enterprise authority layer
Control AI agents before they act.
AI agents are gaining authority faster than enterprises can govern it. They now move money, change production, access data, and act across enterprise systems. Afterward is too late.
Enterprise authority domains
Financial authority
payments, commitments, journal entries, purchasing authority
Operational authority
production changes, infrastructure actions, business-critical operations
Data authority
sensitive access, movement, disclosure, retention
Workforce authority
compensation, employment actions, privileged access
Contractual authority
agreements, obligations, exceptions, external commitments
Authority Envelope
The same action can be allowed, denied, held for approval, or stopped based on who is acting, what authority they have, the business context, and the controls in force.
ALLOWDENYREQUIRE APPROVALSTOP
What Tegrix is
Enterprise Authority Layer for AI Agents.
Every agent gets an Authority Envelope. Every decision lands in the Evidence Ledger.
The Authority Envelope defines what an agent may do, against which systems and resources, under what conditions, and when a human must approve.
Tegrix attaches where your agents already act -- no agent rewrites, no platform replacement. How it attaches -> Architecture.
Because Tegrix makes the decision, the evidence is recorded at the moment of decision -- not reconstructed from logs afterward.
How Tegrix delivers it
Define
Give it an Authority Envelope.
Systems and approvals.
Enforce
Decide before action.
Allow, deny, approve, stop.
Context
Use live facts.
From systems you already run: IAM, ITSM, finance, change freezes, maintenance windows.
Ledger
Keep evidence.
Decision, approver, execution result.
Why Tegrix
Your agents do not live in one platform. Neither can their authority.
As agents spread across clouds, business systems and custom runtimes, authority cannot be managed one platform at a time.
The hyperscalers govern their platform. Tegrix governs the enterprise.
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
Built for the way enterprise agents actually run.
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 identify the agent, map its authority boundary, and show where Tegrix would allow, deny, require approval, or stop execution.