Use cases
Where a checkpoint before the action matters.
Anywhere an AI system acts on information it pulled in, the same question comes up: do the recorded readings, source weights, and action assessment satisfy the decision policy?
Where it fits
Six places the same problem shows up.
-
Customer service AI
Before an agent issues a refund, a credit or a policy answer, check that the policy it found is current and matches the others.
-
Purchasing agents
What a supplier says about certifications, stock and pricing often traces back to one listing copied across many sites. Count it once.
-
AI research and report writers
Reports that cite “many sources” can turn out to rest on one. Trace them back, and keep disagreements visible instead of averaging them away.
-
Tools that react to news
Tell a rumor spreading from one origin apart from news confirmed by separate sources, before anything is bought or sold.
-
Publishing and outreach agents
Before an AI posts or sends something public under a company’s name, check what it’s saying against where it came from.
-
Record-keeping agents
Before an AI files, escalates or closes a record, the statement, what supports it, and any open conflict stay attached for review.