Appalachia AI Operators
Sign inSubscribe
← Back to courses

AI Ops Playbook for Small Teams

A $300 operating playbook course for small teams implementing AI across real workflows. Covers use-case selection, success metrics, staffing, vendor selection, rollout sequence, internal documentation, weekly reviews, and ROI tracking. The goal is a practical operating cadence, not a demo that disappears after launch week. Core sources: - https://aiindex.stanford.edu/report/ - https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf - https://www.anthropic.com/engineering/building-effective-agents

Curriculum

  1. 1.
    The AI ops charter
    Define the business outcomes, owners, risks, and workflow boundaries before choosing models or apps.
  2. 2.
    Use-case scoring
    Rank opportunities by repetition, data availability, risk, review burden, customer impact, and measurable value.
  3. 3.
    Pilot design
    How to set a narrow pilot, baseline performance, acceptance criteria, and a clear kill switch.
  4. 4.
    Operating cadence
    Weekly review rhythms for backlog, incidents, quality checks, adoption, and new workflow candidates.
  5. 5.
    Vendor and tool review
    Questions to ask about data retention, audit logs, access controls, admin controls, evals, and export paths.
  6. 6.
    ROI and adoption dashboard
    Track cycle time, error rate, review load, usage, customer satisfaction, and avoided manual work.
  7. 7.
    Scale without chaos
    When to standardize, when to centralize, and when to let teams build local automations.