One policy. Every agent.

Define organizational rules centrally and enforce them across your entire agent ecosystem.

Policies shouldn't depend on frameworks.

A compliance requirement shouldn't need a separate implementation for every department and technology. When the same rule is rewritten by every team, it stops being one rule and becomes several versions of it, and the audit has to check them all.

Define rules for what matters.

Security

Rules that stop an agent from exposing credentials, secrets or another tenant's data.

Access

Which agents can talk to which systems, in which environment and under which identity.

Models

Which models are allowed per use case, with cost and context limits.

Tools

Which tools each agent can call, and which require human confirmation before they run.

Sensitive data

How personal and regulated data is masked, retained and logged.

Compliance

Industry requirements as executable rules, authored from the compliance spreadsheet, with one legal citation per rule.

Approvals

When a run pauses to wait for a person, and how many people need to approve.

Organizational requirements

Internal policies that apply to the whole fleet, no matter who built the agent.

Define once. Enforce everywhere.

Enforce policies across agents without rebuilding each implementation one by one. When an agent tries to call a tool, fetch data or use a model, the call passes through the organization's rule before it goes out: if the rule blocks it, it doesn't go out; if it requires approval, the run pauses and waits for a person; if it allows it, the call proceeds, and the record stays.

Policy enforced at the boundary instead of excused afterwards: spending caps, four-eyes approval on sensitive actions and a kill switch per tenant.

The business rule lives in the rule. Not in the prompt.

Policy decides whether a call can go out. The business rule decides what the agent does with the case: how much to offer, who approves, which bracket applies. It leaves the prompt and moves into a rules engine, in four steps.

The legal team's spreadsheet

Decision tables authored by whoever owns the rule.

An intermediate form

Canonical and versioned, with aggregation and quantifiers.

An engine behind a port

The rules engine is an adapter, replaceable by contract, not a lock-in.

decide, typed

The agent calls the rule from the language, and a decision id lands in the trail.

When the regulator asks why, the answer is a numbered rule, not a prompt.

The AgentOS for regulated operations.

An Agent Kernel that schedules, isolates, persists, protects and accounts for every agent running on it, at massive scale, including in the institution's own cloud.

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