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The Shared Map Agents Check Before Acting

Give AI explicit roles, decision rights, and boundaries. Peerdom keeps them up to date, so humans and agents coordinate from the same map.

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How to coordinate AI agents with Peerdom

Shown with Aaretal Versicherung, where AI agents and digital colleagues hold roles next to people. A fictional company.

Peerdom map of Aaretal Versicherung: AI agents hold claims roles next to people

Map

Define roles, mandates, and decision rights for humans and AI agents. Make organizational structure explicit and machine-readable. Peerdom’s own digital colleagues join your map the same way, each with a role and a person responsible for it.

Peerdom role Claims Triage held by an AI agent, with its purpose and the limits of what it may do

Authorize

Make boundaries and constraints explicit. Define what each agent can access, decide, and execute within their authorized domain.

Peerdom API keys for three AI agents, read-only, each owned by a person

Coordinate

Let agents query organizational context before acting. Both humans and AI check the same source of truth for roles, responsibilities, and decision paths.

Scale AI safely

Governance that stays light

Make organizational rules explicit so AI can follow them. Structure that enables: agents understand their constraints and keep work moving.

Autonomy within clear lanes

Agents know their boundaries; humans stay in control. Each AI operates freely and predictably within its own defined domain.

Accountability at scale

Every action is traceable to a role, whether human or AI. Maintain clear audit trails as you scale agentic workers across your organization.