Companies Risk Compounding Errors By Skipping AI Output Validation

The Common Question

What AI risks are most businesses ignoring when deploying AI tools?

The Lesson in This Case

Most companies racing to deploy AI are skipping the step that determines whether it actually works – internal verification of what the system produces. The real risk is not that AI fails visibly; it is that it succeeds quietly enough to avoid scrutiny while compounding errors at scale. Senior leaders should treat output validation not as an IT quality-control task but as a core business capability worth funding deliberately.

Originally reported by Harvard Business Review. Read the full story here.