Perspective Beyond · Mind Atlas

Minimum Sufficient Control Architecture for AI Enabled Urban Systems

T2729

Tegrity.AI

Interoperability is necessary for many AI-enabled urban services, but it does not establish how much coordination or intervention is sufficient to achieve their objectives. Minimum Sufficient Control Architecture (MSCA) addresses this architectural gap. Starting from a city’s legitimately defined outcomes and mandatory constraints, it describes coordination scope C, intervention mechanisms P and enabling means M, including reusable Minimal Interoperability Mechanisms (MIMs). The aim is not maximum sensing or control, but an evidence-supported configuration sufficient within stated operating conditions. This paper develops the argument of FG-AI4SSC input FGAI4SSC-I-097 through interoperability precedents, bounded urban-control examples and a retrospective case study conducted in 2026 of the pre-agentic xSeil system developed in 2016–2017. It distinguishes transferable architectural reasoning from claims that require local validation, and outlines how cities could compare configurations without assuming identical infrastructures or a universal minimum.

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Minimum control and sufficiency · 53.85 %Standards and interoperability · 26.92 %Mobility and infrastructure · 19.23 %

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