AI Symphony OS acts as a unified orchestration layer that sits over existing AI vendor solutions.

It employs a dynamic API normalization engine to translate disparate vendor APIs into a common language, enabling seamless interaction.

The platform uses AI-driven middleware to automate data flow management and workflow consistency.

With its modular architecture, it supports plug-and-play with new solutions, allowing enterprises to scale AI capabilities efficiently.

The system also includes an AI optimization engine that recommends workflows based on performance data and business objectives, ensuring continuous improvement and agility.

AI Symphony OS reduces integration costs by simplifying vendor API interactions and automating data workflows, significantly lowers time to market for new services, and maintains service consistency by unifying AI operations across platforms.

It alleviates vendor lock-in issues by providing a normalized API layer, enabling enterprises to switch or integrate new vendors swiftly.

The primary hurdle is creating a robust API normalization layer and ensuring seamless data translation across vendors.

Fortunately, this can be tackled using state-of-the-art middleware technologies and AI for dynamic learning of vendor APIs.

The cost of entry is high given the necessity of developing a comprehensive platform and supporting infrastructure but can be mitigated through strategic partnerships with existing middleware providers.