Multi-Channel AI Conversational Platform
About This Architecture
Multi-channel conversational AI platform routes messages from WhatsApp, Teams, Google Chat, and web interfaces through a Node.js webhook handler into a unified backend core. The backend orchestrates IBM WatsonX Assistant for natural language understanding, IBM NeuralSeek for generative AI responses, and IBM Discovery for knowledge retrieval, while an API Gateway connects to downstream ticketing systems including ServiceNow, OTRS, Sensr, and TIVIT Mobile. This architecture demonstrates enterprise-grade integration patterns for scaling AI-powered support across communication channels while maintaining centralized conversation management and multi-system orchestration. Fork this diagram on Diagrams.so to customize channel integrations, swap AI providers, or add authentication layers for your deployment. Ideal for organizations consolidating customer touchpoints into a single intelligent routing layer with IBM Watson services.
People also ask
How do I architect a multi-channel AI conversational platform that integrates WhatsApp, Teams, and Google Chat with IBM Watson services and ServiceNow on AWS?
Deploy a Node.js webhook handler container to receive messages from WhatsApp, Teams, Google Chat, and web clients, route them to a backend core that orchestrates IBM WatsonX Assistant, NeuralSeek, and Discovery for AI responses, then connect via API Gateway to ServiceNow, OTRS, and other ticketing systems for seamless omnichannel support.
- Domain:
- Cloud Aws
- Audience:
- Enterprise architects designing omnichannel AI customer service platforms
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