Stop building the wrong thing.

Most AI projects fail before a single line of code is written. Teams pick solutions before validating problems. They assume data exists before auditing it. They start building before anyone has defined what success looks like.

The Discover phase exists to fix this. Problem qualification, AI readiness assessment, use case prioritisation, data readiness audit, stakeholder alignment, and ROI modelling — all before architecture decisions are made.