Agentic AI brings together multiple agents, models and distributed datasets across a broad ecosystem of AI platform providers. In this environment, adaptability becomes the differentiator, enabling enterprises to continually optimize cost, performance and user experience. Currently, developers in different enterprise functions are developing their own AI applications in isolation. This can result in inconsistent security policies across different applications, reduced flexibility to change model providers due to data lock-in, higher infrastructure and data egress costs, and lack of consistent monitoring, control and user experience.

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