Agent Observability
The traces, metrics and evaluations that reveal what an agent received, decided, called, returned, cost and where it failed.
Agent Observability is the traces, metrics and evaluations that reveal what an agent received, decided, called, returned, cost and where it failed.
It appears repeatedly across the KUOS case library because leaders need it at a real decision point: defining a boundary, assigning an owner, choosing evidence or deciding whether to scale.
Use it in practice by naming one current workflow, the accountable human, the evidence you expect and the condition that would make you change course.
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Spørg ORION
Spørg MAESTROSTART
Bounded roles
CONTROL
Visible hand-offs
OUTCOME
Human owner
AGENTS & WORKFLOWS
Gå dybere
Relaterede koncepter
Set i cases
Eksempler fra virkeligheden, hvor dette koncept optræder i vores cases.
The Procurement Agent Boundary
AI workflows and agents: A team response
AI workflows and agents: A data boundary
AI workflows and agents: An investment choice
AI workflows and agents: A workflow under pressure
AI workflows and agents: An ownership gap
Den indkøbsagtens grænser
AI-arbejdsprocesser og -agenter: Et team-svar
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