Change the conditions.
Evidence available to the model
Allowed routes and policy constraints
Uncertainty and escalation thresholds
Build a specialized model around a repeated, bounded decision. Keep allowed choices explicit and evaluate the full workflow around it.
Enterprise AI, agent platforms, applied research, and operations teams
Can a specialized decision component improve this task against the current approach?
A service operation routes requests among self-service, specialist review, and human escalation. The right choice depends on the account, the request, and the authority available.
A SCOPING EXAMPLE · NO CUSTOMER RESULTS IMPLIEDEvidence available to the model
Allowed routes and policy constraints
Uncertainty and escalation thresholds
Choice quality and calibration
Policy adherence and costly mistakes
Full-task quality, latency, and cost
Decision schema and labeled evaluation set
Model comparison and integration contract
A deployment recommendation with explicit limits
Agree on the intended use and the evidence needed to make the result actionable.
Discuss this use caseEngagement details. Scope, timing, price, interfaces, data rights, and acceptance criteria are agreed before work begins.