Your AI Agent Needs an Escalation Path: Introducing Escalation Engineering
Introduction Hi, I'm miruky. Imagine asking a coding agent to update an authentication library and publish a release. It can inspect the code, edit a dependency, and run checks. Then the same failure returns. Or the checks pass, but publishing requires permission the agent does not have. Both situations need an explicit decision about how work continues. I want to make that decision a design…
Miruky introduces Escalation Engineering, a concept for designing how AI systems transition to appropriate execution paths when their current tools, authority, or information cannot meet task requirements. Escalation Engineering specifies the new owner, permitted actions, evidence, return conditions, and limits of the escalation. Examples include sending a diagnosis to a specialist, requesting human decision, switching to a more capable model, restricting an agent's actions, or ending the run.
In the release example, if the coding agent fails to update an authentication library after multiple attempts, the escalation policy could route the task to a debugging specialist. The specialist receives the failing input and relevant code, while publishing still requires its own approval.
Escalation Engineering complements other engineering questions, such as Prompt Engineering, Context Engineering, Harness Engineering, Loop Engineering, and Graph Engineering. It provides a complete transfer of control, specifying permitted actions, evidence, resolution criteria, and post-escalation actions. The escalation policy can involve introducing new models, specialists, tools, or authorized decision-makers.
The escalation contract separates capability (what the AI can solve) from authority (what operations it is permitted to perform) and autonomy (how much it may do without further decisions) from accountability (the responsible person or organization). Escalation may reduce autonomy, limiting an agent's actions when faced with insufficient capabilities or permissions.
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