Omnichannel AI Agents

Omnichannel AI agents serve customers using a single configuration and knowledge base across multiple touchpoints, including website chat, SMS, WhatsApp, Telegram, phone, and email. Even when customers switch channels, the conversation context and user history are preserved, reducing the need to re-enter information.

Omnichannel differs from multichannel, which deploys separate bots for each channel. In a multichannel environment, tools and knowledge bases are isolated per channel, whereas in an omnichannel environment, a single logic layer and guardrails are shared.

Key features include:

• Single configuration: Define knowledge, integrated systems, guardrails, and business logic only once.
• Shared context: Continue a conversation started on WhatsApp in in-app chat or other channels.
• Multimodality: Process not only text and voice but also images, files, audio messages, and location data.
• Consistent operations: Apply policies and logic modified in one channel to all deployment channels.

The recommended architecture aggregates requests from all channels into a single triage layer, then routes them to specialized sub-agents with scoped tools, conversation goals, and appropriate models. Additionally, since voice channels are often the most difficult surface to add later, a voice-first design approach is suggested, treating text channels as additional deployment targets rather than adding voice to text platforms.