India, April 30 -- In many engineering teams, the real drain is not always the toughest design problem. It is the documentation, repetitive support work, manual follow-ups, and cross-functional handoffs that consume time before engineers can get to the work that matters. That is where Artificial Intelligence (AI) is beginning to make a more visible difference. The shift is not just about productivity. It is about how work moves across teams, how decisions are made, and how much context AI needs before it can be trusted with deeper responsibility. In this conversation, Rob Vatter, Executive President, Quest Global, explains why AI's real value in engineering will depend on context, governance, accountability, and the ability of human talen...