Work to delegate and stop conditions
The required stop conditions and reviewers change when a task updates customer or internal data rather than ending with an answer.
AI Agents
A topic for deciding which work to delegate to AI agents and where to place evaluation, approvals, permissions, and observability, using public documentation and concrete implementations.
Articles 31
Latest update October 31, 2026
AI Agents
Adding predictions from customer and order records to enterprise AI
Find policy, aggregate orders, and predict the next 90 days. How can staff assemble the information for choosing whom to contact?
Structured DataPredictive AINVIDIA KumoEnterprise AIEvaluation
Sources
Open briefing
14
Adoption sequence
Four questions to separate before putting AI agents into work
This topic does not compare AI agents only by answer quality. It separates who performs each step, where work must stop, and what must be checked in a real workflow.
What to evaluate
The briefings separate final answers from tool selection, execution order, intermediate artifacts, and failure handling.
Approvals and permissions
Human-approved actions, policy-evaluable actions, and prohibited actions are treated separately from model capability.
State and observability
For long-running work, the ability to inspect ownership, progress, evidence, and resume conditions distinguishes an operating system from a one-off demo.