AI sprawl is one of those problems that's easy to miss because every individual tool adoption seems reasonable. The real challenge starts when different teams are sending sensitive data to different models with no shared governance or visibility.
A practical approach we've taken at IT Path Solutions is to standardize on a small set of approved AI platforms while keeping model access flexible behind the scenes. That gives teams room to experiment without creating dozens of disconnected AI workflows that become difficult to secure, audit, and maintain later.
AI sprawl is one of those problems that's easy to miss because every individual tool adoption seems reasonable. The real challenge starts when different teams are sending sensitive data to different models with no shared governance or visibility.
A practical approach we've taken at IT Path Solutions is to standardize on a small set of approved AI platforms while keeping model access flexible behind the scenes. That gives teams room to experiment without creating dozens of disconnected AI workflows that become difficult to secure, audit, and maintain later.