Why Every AI System Needs an Orchestration Layer: The Simple Path to Smarter Automation

AI systems are increasingly prevalent, performing tasks across various applications like Gmail, Slack, and HubSpot, yet they often face limitations due to their inability to integrate seamlessly and remember past interactions. This issue highlights the need for an orchestration layer, which acts as a central intelligence, allowing AI to operate across multiple tools efficiently and without errors. Fastn's Unified Context Layer (UCL) addresses these challenges by enabling the integration of over 1,000 SaaS applications, providing shared memory across platforms, and eliminating the need for custom API code. UCL enhances AI's capability to perform tasks smoothly between apps, acting like a comprehensive assistant that remembers and processes information contextually. This orchestration layer is pivotal for startups, large enterprises, and AI developers aiming to build robust, future-proof AI systems, as it ensures faster, more secure, and scalable AI automation compared to traditional APIs and RAG systems.

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