AI is being deployed as a point solution, often focused on code suggestions, and doesn’t have the context needed to account for all aspects of your environment. The tools are layered onto existing dysfunctions, such as tool sprawl, siloed teams, pre-existing technical debt, or understaffing. When AI tools are added to already fragmented workflows, they amplify rather than solve underlying organizational problems. The initial enthusiasm around AI is giving way to frustration as teams struggle with integration challenges and unrealistic expectations.