Appalachia AI Operators
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Internal Automation Blueprint

A $2,000 strategy course for mapping internal AI automation across departments. Covers operating model, capability map, data boundaries, approval architecture, build-versus-buy decisions, risk controls, and phased implementation roadmap. For founders, operators, and department leads preparing a serious AI automation program. Core sources: - https://www.nist.gov/itl/ai-risk-management-framework - https://www.anthropic.com/engineering/building-effective-agents - https://owasp.org/www-project-top-10-for-large-language-model-applications/

Curriculum

  1. 1.
    Enterprise workflow inventory
    Map every candidate workflow by data source, owner, frequency, risk, value, and dependency.
  2. 2.
    Capability architecture
    Define shared services for retrieval, prompts, evals, logs, approvals, and user access.
  3. 3.
    Build versus buy
    Decide when to use existing SaaS, no-code tools, custom APIs, or internal agents.
  4. 4.
    Control design
    Access scopes, approval gates, audit trails, observability, incident reporting, and vendor review.
  5. 5.
    Change management
    Training, adoption, feedback channels, role redesign, and workflow documentation for teams.
  6. 6.
    Phased roadmap
    Sequence pilots, shared infrastructure, high-value workflows, governance maturity, and executive reporting.
  7. 7.
    Blueprint review
    Produce a board-ready map of current state, target state, risk register, and next-quarter execution plan.