AAUTHRIZDENTERPRISE AUTHORITY

SOLUTIONS

Let AI move faster without moving beyond its authority.

Authrizd addresses the operational gap between what AI can technically do and what the enterprise has actually empowered it to do.

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ENTERPRISE OUTCOMES

Authority for the problems AI execution creates.

These solutions describe why enterprises buy an authority layer. Product mechanics live in Product; connection points and availability live in Integrations.

PRE-EXECUTION AI AUTHORIZATION

Separate technical capability from enterprise authority.

An AI actor can have valid credentials and still lack authority for a particular action. Authrizd evaluates the proposed effect against mandate, scope, delegation, approvals, conditions, and evidence before execution at a supported control point.

No authority, no action.
MACHINE-SPEED APPROVAL AUTOMATION

Keep routine work moving without turning every action into a click.

Established authority boundaries allow bounded, routine decisions to be resolved automatically. Ambiguity, missing authority, conflicts, unusual risk, scope expansion, and actions requiring explicit approval are routed to people. Silence is not approval, and automation is not unlimited autonomy.

Reduce approval fatigue by focusing human attention on exceptions.
AI CODING AND SOFTWARE DELIVERY

Apply authority to the path from code change to production.

Authrizd for GitHub is the first commercial implementation. It brings action-specific authority to supported software-delivery workflows involving repository and branch scope, pull requests, protected branches, tools, workflows, software changes, and movement toward production.

GitHub orchestrates the work. Authrizd authorizes the action. Explore Authrizd for GitHub →
AGENT, TOOL AND CONNECTOR AUTHORITY

A credential does not prove authority to use a tool for this task.

Authrizd is designed to evaluate whether an agent may use a tool, MCP resource, connector, API, or enterprise system for the stated purpose, target, and scope. The authority question follows the action, not merely possession of a credential.

Connect capability to a valid mandate and exact objective.
MULTI-AGENT AND DELEGATED AUTHORITY

Prevent authority from expanding as work changes hands.

Authority can become ambiguous when agents spawn subagents, collaborate, delegate work, cross sessions, or use shared resources. Authrizd is designed to preserve and evaluate the original mandate and current boundaries through those relationships.

Delegation should carry authority constraints—not erase them.
ENTERPRISE AUTHORITY SOVEREIGNTY

Keep one enterprise authority model across a changing AI stack.

Enterprises use multiple model providers, agent platforms, coding agents, AI applications, and tools. Authrizd provides an independent authority layer so the organization does not have to accept each vendor's internal definition of who may do what.

The enterprise remains the authority.
ACCOUNTABILITY AND RECONSTRUCTION

Answer the authority questions after AI acts.

Engineering, security, compliance, audit, incident response, and legal teams need to understand who authorized an action, what mandate and scope applied, why it was allowed or blocked, what changed, and which evidence exists. Authrizd preserves that authority record where the connected workflow supplies it.

Accountability requires more than an activity log.

BOUNDED AUTHORITY

Move at machine speed. Keep enterprise authority intact.

Start with a supported GitHub workflow and evaluate how action-specific authority fits your operating model.

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