Common AI Implementation Mistakes: From Strategy Gaps to Sustainable Adoption
AI has moved past experimentation, but many organizations still struggle to turn it into lasting value. From unclear business objectives and weak data foundations to misaligned teams, security risks, and poor adoption, common implementation mistakes continue to limit AI’s impact. True success now depends on strategic clarity, cross-functional collaboration, strong governance, and treating AI as a long-term capability—not a one-time deployment.
