The problem
AI systems sometimes produce outputs that are fabricated, unstable, or unsafe — and most organisations don't detect it until it reaches customers, regulators, or executives.
What fails in practice
- Confident answers that aren't grounded in source material.
- Behaviour drift after model updates, prompt changes, or context shifts.
- Multiple models in one pipeline producing inconsistent behaviour.
- Silent failure modes that look “fine” until they create an incident.