An illustrative scenario
Can an agent recognize the exception to the rule?
A team needs a replacement component urgently. The preferred supplier is unavailable, a new vendor offers faster delivery, and the purchase exceeds the requester’s approval limit. The next step depends on urgency, vendor status, budget, and the exception process.
What to vary
Keep the comparison focused. Change the conditions that can alter the right next action.
- Operating context
- Delivery deadlines, supplier alternatives, budget availability, and project criticality.
- Decision evidence
- Missing quotes, expired vendor checks, duplicate requests, and conflicting records.
- Authority
- Approval thresholds, delegated limits, emergency exceptions, and reviewer availability.
What to measure
Agree the checks before the evaluation. Inspect outcomes and failures alongside the summary.
- Expert agreement
- Compare the proposed next step and rationale with independent expert review.
- Exception detection
- Measure missed approval requirements and unnecessary escalations separately.
- Decision trace
- Check that the request, supporting evidence, applicable rule, and responsible owner remain attached.
Define your engagement
Start with a decision you can evaluate.
- You bring
- Historical purchasing decisions, approval policy, relevant business context, and a procurement workflow owner.
- We scope
- An expert decision rubric, held-out cases, disagreement analysis, and a proposed action-review contract for one workflow.
Begin with recommendations in observation mode. Purchasing permissions, identity checks, and financial controls remain part of the actual operating system and need their own integration verification.
Plan a scoped pilotQuestions about this use case
Does a learned model override purchasing policy?
No. Helm applies learned judgment within explicit permissions. A pilot must define what the agent may recommend, what it may execute, and which exceptions need an authorized person.
What if experts disagree?
Keep the disagreement visible. Review whether the policy is ambiguous, relevant context is missing, or the decision needs a named owner before treating a label as the correct answer.