Your AI Agent Learned a Better Way. Who Approved the Change?
CIO, Wednesday, October 28th, 2026
When AI agents learn from experience, CIOs must keep them from quietly turning temporary exceptions into standing business policy.
In this CIO opinion piece, Krti Tallam argues that as AI agents learn from experience, CIOs must separate better execution from changes to the business rules that govern work.
A hypothetical refund example shows an agent consolidating a temporary, scoped exception into memory without its limits and then issuing an unreviewed refund to an unaffected customer.
The piece cites Salesforce's Agent Optimizer, AWS memory guidance, research showing consolidation can lose source-authority distinctions and Microsoft guidance treating memories as candidate context.
The author recommends keeping exception scope, approver and expiration in controlled records, enforcing conditions outside agent-editable guidance and testing behavior before and after learning.