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Agent governance workflow library

Agent Interruption Budget Review

Turn agent help requests into a capacity-aware interruption budget for deciding what interrupts now, what batches, what stays in shadow mode, and what stops.

This is a complete workflow library with 1 individual skills. Download the full library or pick the specific skill folder your team needs first.

Individual skills in this library

Use one skill at a time, or keep the full workflow together.

Some AI tools expect one skill folder per upload. Download the full library when you want the whole workflow, or download an individual skill when you only need one job done.

Skill 1

Budgeting Agent Interruptions

Use when an agent must decide whether to interrupt a human now, batch a question, continue inside a safe boundary, enter shadow mode, or stop.

Security fit check

Is the public Agent Interruption Budget Review library enough, or does this need deeper review?

Use the public library when the workflow is low-risk, the inputs are already sanitized, and a team member can review the output before it reaches a buyer or customer.

Do deeper review when this workflow touches real tools, data sources, role ownership, approval paths, or customer-facing output.

Human review operationsAI OperationsSecurityWorkflow OwnerPlatform EngineeringHuman Review Queue Owner

Good deeper-review trigger signals

  • The workflow touches customer, prospect, CRM, proposal, security, pricing, or campaign data.
  • Different teams disagree on the approved source of truth.
  • The AI output could become customer-facing, revenue-impacting, or compliance-sensitive.
  • You need reusable eval checks before asking more people to use the workflow.