Why every AI agent decision needs a receipt
The New Stack Manveer Chawla
AI agents reasoning about live business systems need structured evidence packets containing complete measurement context, not just retrieved data. An evidence packet should include the metric definition, query template, timestamps, data freshness indicators, known gaps, calculation methods, and related metrics tested as counterchecks to prevent agents from reaching incorrect conclusions. Separating database observations from agent interpretation through governed query paths and read-only access ensures agent recommendations remain auditable and verifiable by human reviewers.
Why it matters
A conversion-rate alert fires 30 minutes after a pricing engine deploys updated discount rules. The analytics platform holds millions of The post Why every AI agent decision needs a receipt appeared first on The New Stack.
