Most AI failures do not start inside the model; they start when intelligence, authority, and execution live in different systems, each producing data nobody can carry into the next decision.

A talent graph can identify capability while a cognitive system tests reasoning, governance sets boundaries, and telemetry records what happened. Leave those layers as separate reports and nobody can trace the path from person and role to decision, control, work, and outcome.

Cognitive Execution Systems maps that path by giving each layer a job: Nebula carries market and profile signals, Axiom Cortex carries cognitive delivery evidence, team topology assigns ownership, and governance plus telemetry preserve the execution record while humans remain accountable.

In distributed LATAM delivery, every boundary becomes visible: identity, device, approval, ownership, handoff, release. The operating model either preserves the decision record across those boundaries or loses control as work scales.

https://teamstation.dev/research/cognitive-execution-systems