Campus AI AgentsA field guide 07 / 14
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Implementation playbooks

An agent’s life from first framing to retirement. Success metrics are defined before anything is built.

  1. 01

    Design

    Job-to-be-done framing, risk classification, data inventory, human-oversight model, success metrics defined before build.

  2. 02

    Pilot

    Limited scope, evaluation plan, equity checks, feedback loops, exit criteria.

  3. 03

    Deploy

    Integration patterns, identity and permissions, logging, user communication, training.

  4. 04

    Monitor & improve

    Technical and outcome metrics, override rates, bias monitoring, prompt and tool updates.

  5. 05

    Retire or scale

    Sunset criteria, knowledge transfer, or a move to the institutional platform.

Templates for each stage: intake checklist (design), pilot plan (pilot), data-access worksheet (deploy), equity monitoring (monitor), and retirement language (retire).

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