Search⌘ K
AI Features

Design Defence: Rubric-Led Review and Recommendation

Explore how to integrate artifacts, decision criteria, and evidence into a comprehensive design defense for AI solutions. Understand how to run rubric-led reviews checking coherence, enforceability, and sufficiency of evidence. Learn to create a defensible package that satisfies stakeholders such as security, compliance, operations, and platform teams. Develop skills to respond to review challenges and prepare clear decision memos with explicit approval conditions, gates, and risk management to ensure thorough enterprise AI architecture review and approval.

The unit economics model from the last lesson gave the capstone a defensible cost model. This final lesson brings the chapter’s artifacts, including the intake brief, ADRs, boundary design, release gates, security and governance closure, and economics model, into a single review package for the board. Treat the design defense as a traceability exercise across claims, artifacts, and evidence. Every architecture claim in the capstone portfolio should trace directly to a supporting artifact and verifiable evidence, such as a gate definition, control enforcement point, metric, ownership record, or documented cost assumption. A defensible package meets the acceptance criteria of each approval audience. It must also provide enough evidence for reviewers to verify and approve the design.

State the decision request as a single sentence naming the recommendation type and the approval being sought. Make the acceptance criteria for each audience explicit and bounded, so reviewers can approve or block with a concrete reason:

  • Executive sponsor: Approves measurable outcomes, funding bounds, and the recommendation type across proceed, reshape, buy, partner, defer, stop, with clear success metrics and phase gates.

  • Security: Approves the threat model, trust boundaries, data classification assumptions, and the control set with enforcement points and audit evidence.

  • Compliance and privacy: Approve the obligation-to-control mapping, data retention and residency constraints, and the human review requirements where policy demands it.

  • Operations: Approves operability, on-call ownership, incident and change workflows, rollback strategy, and the runbooks that make the service supportable at the intended reliability level.

  • Platform ...