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 Duration 21 hours

Course Outline

Initiation

  • Establishing objectives, guidelines, and timeline
  • Review of tools and their capabilities
  • Identification and selection of challenges

Problem Definition

  • Documenting workflows, user needs, and success metrics
  • Selecting the most efficient minimal solution
  • Structuring the team and defining roles

Development Sprint 1

  • Creation of an initial prototype using AI assistants, automation, or application builders
  • Providing guidance and removing obstacles
  • Conducting an interim review

Validation and Refinement

  • Testing against real-world scenarios
  • Identifying vulnerabilities and implementing corrections
  • Reviewing data protection and security compliance

Development Sprint 2 (for 2-day and 3-day formats)

  • Enhancing the prototype’s functionality
  • Integrating with enterprise systems
  • Preparing a formal demonstration

Presentation and Assessment

  • Brief team presentations
  • Reviewing feedback and selecting top concepts
  • Outlining the business case with key metrics

Path Forward

  • Transitioning from prototype to pilot
  • Defining accountability, budget, and schedule
  • Strategizing for broader AI adoption for government

Requirements

  • Programming experience is not required for the standard format
  • Each team is expected to present one or two authentic operational issues or process improvements
  • Interdisciplinary participation is recommended

Target Audience

  • Cross-functional teams from organizations of any size
  • Innovation, digital, and human resources teams seeking to develop practical AI competencies
  • Leadership teams aiming to assess the immediate potential of AI for their processes for government

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