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Case Study

Multimodal Conversational AI Platform for Enterprises

A multi-tenant platform for building, routing and running enterprise virtual assistants across web chat, WhatsApp, SMS, voice and digital humans, powered by IBM Watson Assistant, Azure OpenAI and Azure Speech.

Artificial IntelligenceAsia-Pacific

The challenge

Enterprises wanted virtual assistants on every channel their customers use. Each assistant was configured separately, conversations lost context when users switched channels, and complex requests needed a smooth hand-off to human agents.

Our solution

We built a platform where each organization manages its own assistants (skills, intents, entities, dialogs and webhooks) from one dashboard.

An orchestrator connects every channel to the right assistant, including real-time speech-to-text and text-to-speech for voice and integration with digital human avatars. Conversations are routed between assistants with Azure OpenAI, context is preserved across channels, conversation analytics are stored, and live-agent hand-off is supported.

What we delivered

  • Multi-tenant assistant management
  • Omnichannel orchestrator: web, WhatsApp, SMS, voice and digital humans
  • Real-time speech-to-text and text-to-speech
  • Multi-assistant routing and conversation analytics
  • Live-agent hand-off

The impact

  • One platform reused across many assistants and channels
  • Context preserved as customers move between channels
  • New assistant use cases delivered faster

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Whether you want to automate a process, integrate AI, build a portal, or optimize Salesforce — PortalVar; can help.