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AI Foundations / Module 7 / Module 7 capstone

Module 7 capstone

Capstone Brief: Design and Defend an AI-Assisted Workflow

Capstone brief. Use only supplied, public, fictional, or safely prepared synthetic material.

Result

Create a reusable workflow for a suitable task. Show how you define the work, choose inputs and tools, verify output, control risks, preserve human authority, test the process, and improve it.

Expected active time: 120-180 minutes. Revision is allowed.

Choose one pathway

  1. Research and synthesis.
  2. Writing or communication.
  3. Planning or analysis.

Use supplied, public, fictional, or safely prepared synthetic information. Do not use real personal, confidential, employer, client, health, financial, education, legal, government, authentication, or security-sensitive information.

Required artefacts

  1. Task and intended-user statement.
  2. Success criteria and boundaries.
  3. Input register with data classification and permission.
  4. Tool-selection rationale.
  5. Workflow specification with stages, owners, handoffs, and autonomy level.
  6. Prompt or instruction set where generative AI is used.
  7. Output-review rubric and evidence log.
  8. Responsible-use controls, human decisions, escalation route, and stop conditions.
  9. Test record using safe material, including at least one defect and revision.
  10. Final workflow and reflection.

Autonomy choices

  • Single response: one bounded, reversible output followed by review.
  • Assisted steps: several defined stages with explicit tools and human checks.
  • Agentic process: delegated multi-step tool use or action. This requires a clear benefit plus stronger permissions, confirmation, monitoring, logs, recovery, and stop controls.

Choosing more autonomy does not earn a higher result. The level must fit the task and risk.

Completion standard

Every essential rubric criterion must reach Meets. A strength in one area cannot compensate for unsafe data handling, absent verification, or missing human authority.

The capstone does not prove professional competence, legal compliance, or safe deployment in a real organisation. It demonstrates the course method on bounded safe material.