Code Provenance Over Models: Where AI Teams Go Wrong

As AI coding velocity accelerates, teams are discovering that model selection is not the real bottleneck—code provenance, ownership, and traceability are. The shift from 'Can AI write code?' to 'Can we prove who wrote what, why, and verify it's safe?' reveals that governance and attribution controls now matter more than raw performance gains. Without proper process integrity, faster AI-assisted development becomes a security and accountability liability rather than a competitive advantage.