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 Duration 7 hours

Course Outline

  • Day 1: Transitioning from static document repositories to intelligent knowledge systems for government
    • Mechanisms by which AI systems retrieve and synthesize information from institutional records
      • Locating information within archives and providing citation-ready responses
      • Common causes for inaccurate, incomplete, or erroneous outputs
      • Distinguishing between standalone file uploads and integrated digital repository structures
      • Practical application: Identify three representative inquiries requiring authoritative responses for government operations.
    • Optimizing knowledge assets
      • Ensuring logical structure, consistent nomenclature, and content currency
      • Eliminating redundancy and resolving conflicting versions of policy or procedure
      • Verifying access permissions and classification levels
      • Practical application: Audit the existing document set and curate a refined, verified selection for the system.
    • Selecting a deployment platform
      • Implementing a Copilot agent within SharePoint environments
      • Utilizing Claude projects or custom GPT configurations
      • Employing Langdock assistants or NotebookLM tools
      • Evaluation criteria including data residency, sharing protocols, repository capacity, and fiscal impact
      • Practical application: Select the optimal platform for the specific operational context and document the justification.
    • Configuring the agent
      • Defining operational parameters including target audience, communication tone, and output formatting
      • Mandating explicit source attribution in all generated responses
      • Protocols for handling queries that exceed the scope of the available knowledge base
      • Practical application: Deploy the knowledge agent on the selected platform using established configurations.
    • Validating performance via a question catalog
      • Developing a set of 20 validation queries with predetermined expected outcomes
      • Categorizing responses as accurate, partially accurate, incorrect, or lacking
      • Refining system instructions and underlying documents based on performance data
      • Practical application: Execute the validation test with 20 queries and document the accuracy rate.
    • Ongoing maintenance and administration
      • Establishing clear accountability for content integrity
      • Managing updates, version control, and lifecycle status
      • Systematically gathering and analyzing user feedback
      • Practical application: Draft a maintenance protocol specifying roles, responsibilities, and review cadences.
    • Deliverables: Each participant will possess a operational knowledge agent for government use, a documented accuracy metric, and a formal maintenance plan.

Requirements

  • Access to Copilot, Claude, ChatGPT, Langdock, or NotebookLM, along with a collection of approved, final-release documents relevant to the participant’s domain.
  • Programming proficiency is not a requirement.

Target Audience

  • Teams, subject matter experts, and key users responsible for providing accurate information derived from organizational documents, policies, and manuals.

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