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The AI Roundabout proposes a Lean Six Sigma-informed operating model for governed AI enablement. It uses the modern traffic roundabout as a practical metaphor for balancing two organizational pressures: accelerating productive AI use while maintaining appropriate governance, accountability, and control. Rather than treating governance as a sequence of centralized stop-and-go approvals, the model embeds rules, boundaries, guidance, validation points, and escalation mechanisms into the operating environment. AI_Roundabout_Long_Concept_Paper The paper maps traffic laws, road signs, lane markings, yield behaviour, speed management, and monitoring to corresponding elements of AI governance. Lean Six Sigma provides the engineering discipline through DMAIC, SIPOC, root-cause analysis, FMEA, measurement-system analysis, process capability, and control. AI is positioned reciprocally as a knowledge valet, thought organizer, and reflective mirror supporting continuous improvement while human judgment and accountability remain central. AI_Roundabout_Long_Concept_Paper AI_Roundabout_Long_Concept_Paper The model then extends from a single governed AI workflow to connected intersections, a three-dimensional organizational network, and future agentic pods that inherit common governance rules. Its central propositions are: standardize the rules, not every decision; teach the operating rules once and configure the intersection locally; and scale only what has been stabilized.
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