The data engineering sector within the trillion-dollar systems integration (SI) and consulting industry is undergoing significant disruption due to AI-powered solutions that can automate complex tasks like code translation and validation, traditionally done by large teams of consultants over extended periods. While many SIs perceive this technological advancement as a threat, it is increasingly being seen as a complementary force that enhances capabilities rather than replaces them. The conventional business model faces challenges as the unpredictable nature of legacy code projects often extends timelines beyond initial estimates, causing traditional migration projects to become economically unsustainable. As clients become more knowledgeable and demanding regarding timelines and cost efficiency, they are comparing traditional proposals with AI-driven alternatives that offer quicker and cheaper solutions, leading to intense price competition, slim profit margins, and overworked engineering teams.