WorkflowAI provides a visual interface to design end-to-end automated workflows powered by AI agents. Users can assemble pre-built or custom AI models into digital workers that execute tasks such as document processing, lead qualification, and support ticket resolution. Triggers—including webhooks, schedules, and external events—initiate workflows, which can then interact with third-party apps or internal systems. Built-in analytics dashboards track performance, while role-based access controls ensure security. No coding is required, enabling business teams and developers alike to iterate quickly and scale automation across departments.

Built on LangGraph, this toolkit orchestrates AI agents within LiveKit rooms, capturing audio streams, transcribing speech via Whisper, and generating contextual replies using popular LLMs like OpenAI or local models. Developers can define event-driven triggers and dynamic workflows using LangGraph’s declarative orchestration, enabling use cases such as Q&A handling, live polling, real-time translation, action item extraction, or sentiment monitoring. The modular architecture supports seamless integration, extensibility for custom behaviors, and effortless deployment in Node.js or browser-based environments with full API access.