AI deployment is not seven roles acting independently; it is seven nodes in a tightly coupled system. Value is created in the interactions, not in the job descriptions.
The matrix clarifies who depends on whom, why, and what breaks when interactions fail.
Critical for the shift to autonomous systems. Break → agents never reach coherent, reliable behavior.
4. Failure Scenarios (When Interactions Break)
1. SE ↔ SA Misalignment → Wrong scope, impossible delivery 2. FDE ↔ PM Weak Loop → Product never improves 3. AI/ML ↔ FDE Gaps → Model fails in production 4. Architect Underutilized → No standardization, scaling dies 5. No Workflow Architect Input → Agents behave unpredictably
The root cause in all cases: Roles act as silos instead of a dynamic system.
5. The Interaction Matrix in One Sentence
The AI Implementation Stack succeeds only when each role feeds constraints, learnings, and patterns into the next — forming a closed-loop system where discovery informs architecture, architecture guides deployment, deployment generates insight, and insight compounds into infrastructure and agent ecosystems.
Gennaro is the creator of FourWeekMBA, which reached about four million business people, comprising C-level executives, investors, analysts, product managers, and aspiring digital entrepreneurs in 2022 alone | He is also Director of Sales for a high-tech scaleup in the AI Industry | In 2012, Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy.
