Multi-Channel AI Conversational Platform

aws · architecture diagram.

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.

Multi-Channel AI Conversational Platform

AWSadvancedIBM WatsonConversational AIOmnichannelServiceNowNode.js
Domain: Cloud AwsAudience: Enterprise architects designing omnichannel AI customer service platforms
1 views0 favoritesPublic

Created by

February 20, 2026

Updated

February 25, 2026 at 1:41 PM

Type

architecture

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