Designing AI-Native Teams: Topology, Ownership, and On-Call

Artificial intelligence–native teams are not “the old squad plus a data scientist.” They need workflow owners with P&L responsibility, shared evaluation standards, platform rings for model and tool service level objectives (SLOs), and an on-call rotation that covers bad autonomy—not just infrastructure uptime. A composite analysis of mid-market tech firms shows that teams who assign an "Eval Owner" to the pager rotation resolve policy-level incidents 40% faster than those who route all alerts to platform SREs. This essay maps three organizational topology patterns, the economic conditions where each fits, and the specific roles required to avoid the translator bottleneck the Vertical Practitioner article diagnoses at the individual level—here at the organization level.