Volume 11 — Product, Business, and Organizational Architecture
How to ensure the system matters, survives adoption, and creates value instead of expensive theater.
Reports
AI-ENG-AF — AI Product Architecture: Use-Case Selection, Workflow Fit & Value Design
Covers identifying where AI belongs and where it does not. Includes automation vs. augmentation, feasibility scoring, workflow mapping, user tolerance, evaluation clarity, risk level, data readiness, ROI modeling, cost-to-serve, and the AI-Shaped Hole Fallacy.
AI-ENG-AG — Adoption Systems: Training, Feedback Loops & Change Management
Covers onboarding, user education, internal champions, feedback capture, support burden, behavioral incentives, team resistance, process redesign, and the practical sociology of getting humans to use AI systems well.
AI-ENG-AH — Build, Buy, Open Source & Vendor Strategy
Covers vendor selection, open-source model strategy, local deployment, managed APIs, hybrid architectures, procurement realities, lock-in, licensing, data rights, security review, integration costs, exit plans, and the real total cost of ownership.