AI tool sprawl: causes, risks, and how teams can regain control

AI tool sprawl is a growing issue within organizations as they rapidly adopt new AI tools, leading to fragmented systems with overlapping functionalities, scattered API keys, and inconsistent safety controls. This sprawl arises from decentralized decision-making, high experimentation velocity, and the proliferation of AI features across various platforms and teams, resulting in security risks, governance blind spots, operational complexity, and financial unpredictability. To tackle AI tool sprawl, organizations are encouraged to implement a unified access layer, establish a clear governance framework, standardize observability, and rationalize their tool stack to maintain flexibility without compromising security or efficiency. By introducing structure and consistency, teams can continue innovating while managing the complexities of the expanding AI ecosystem, and solutions like Portkey’s AI Gateway offer centralized control and complete observability to streamline AI workflows.

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