Your team is already using AI to generate tests, analyze failures, and accelerate delivery. But as adoption grows, a harder question surfaces: can you trust what it produces, and prove it?
Generating AI outcomes is easy. Explaining them, validating them, and demonstrating compliance when auditors, regulators, or leadership demand evidence is where most teams hit a wall.
This session explores practical strategies for operationalizing trusted AI across the delivery lifecycle. Learn how to reduce hallucinations through governed knowledge, trace requirements to AI-generated tests...