AI engineering podproduct engineeringenterprise AI delivery
Pods vs staff augmentation
Staff augmentation optimizes for hours; pods optimize for milestones — architecture, eval quality, and production SLOs.
A pod includes architecture leadership, applied AI engineers, and platform engineers in one backlog.
Success metrics tie to business outcomes, not story points alone.
Operating rhythm
Weekly demos, eval dashboards, and architecture decision records keep stakeholders aligned.
Pods document integration boundaries early to avoid fragile demos that cannot pass security review.