Omnichat Officially Supports 3rd Party AI Agents: Building a “Multi-AI Collaboration” Platform

In the future, AI customer service will become the standard for all industries. Enterprises will use AI to handle processes like FAQ, order inquiries, and marketing flow, significantly improving efficiency.

The brand’s need is no longer for “one AI,” but for multiple AIs to collaborate.

The marketing team wants an AI that understands events and product promotions, the customer service team needs an AI that can read FAQs and SOPs, the travel industry needs a trip planning AI, and e-commerce wants a product consultation AI that understands product attributes and can compare specifications… No single model is comprehensive enough, so enterprises will ultimately need a combination of different AIs.

To help brands truly implement “Multi-AI Collaboration,” Omnichat recently officially launched 3rd Party AI Agent Integration. The initial rollout features support for the Raccoon AI Agent. We plan to integrate additional AI partners and internal models in subsequent phases.

This article will take you deep into the value, principles, and application cases of this feature, and explain why this feature will become the basic specification for enterprise-level AI customer service.

Why Do Brands Need “Multiple AIs”? The Market is Changing Faster Than You Think

After most brands introduce AI, the first step is usually a “general-purpose AI,” which commonly handles:

• FAQ
• Order Inquiry
• Store Information
• Simple Guided Shopping

However, they quickly run into three major limitations.

1. A Single Model Cannot Satisfy All Needs

Different AIs specialize in different areas. For example:

• Large Models are very good at providing suggestions using natural language, but the cost is high.
• Tool-based AIs excel at looking up information and checking orders, but have limited natural language understanding.
• Expert domain models are good at travel arrangements, insurance policy comparison, or legal consultation, but are not suitable for handling a large volume of FAQs.

If all scenarios are thrown at the same AI, the results will not only be unsatisfactory, but may also lead to wasted costs.

2. Different Teams All Want Their Own AI

The marketing team needs an AI for:

• Explaining event rules
• Promotion recommendations
• Funnel progression

The customer service team needs an AI for:

• FAQ answers
• Store information
• Order/Member inquiry

The sales team needs an AI for:

• Product introduction
• Guided shopping
• Appointment booking and lead collection

No single AI can fully meet all needs, so the more mature a team is, the more likely they are to need multi-AI collaboration.

3. The Market is Rapidly Moving Towards the “AI Agent Ecosystem”

OpenAI, Anthropic, Google, and Meta all point to the same trend:

AI has evolved from “one model serves all problems” to “multiple Agents collaborate to complete a task.”

If an enterprise cannot integrate different AIs simultaneously, it will be difficult to remain competitive.

Omnichat Supports 3rd Party AI Agents: Allowing Brands to Use the “AI That Best Suits Them”

In simple terms, the capability Omnichat is providing this time is:

You can integrate any 3rd party AI Agent into Omnichat and allocate different AIs to handle different tasks within your Chatbot flow.

Raccoon AI is currently supported in the initial phase, with plans to integrate additional external AIs and partner models over time.

Feature Highlight 1: Free Integration of Any AI Agent

In the future, brands can integrate:

• Omnichat’s partner 3rd party AI Agent services, such as: Raccoon AI (other partners will be announced sequentially)
• In-house developed internal AIs (e.g., corporate internal knowledge base)
• Open-source Agents or self-hosted models

You don’t need to change any front-end interface or rebuild your customer service platform.

Feature Highlight 2: Free Switching of AI Within the Chatbot Flow

Omnichat’s flow editor supports “specifying an AI Agent at a node.”

Example flow:

• If it is an FAQ → Use Omnichat Omni AI
• If it is a product service recommendation → Use Omnichat’s partner 3rd party AI Agent service, such as: Raccoon AI
• If it is an order inquiry → Use your own ERP AI Agent

There is no “automatic intent judgment” or complex Routing; you only need to manually specify it at the node, which is more controllable and better aligns with enterprise SOPs.

Feature Highlight 3: All-Channel Support (LINE / FB / IG / Webchat / WhatsApp)

Once integrated, AI can directly respond to customers across all channels.

Questions coming from LINE can also be answered by Raccoon AI;

Questions coming from Messenger can also be handled by your own internal AI.

Enterprises do not need to change any of their existing multi-channel customer service architecture.

Feature Highlight 4: All AI Responses are in the Same Conversation, Managed on the Same Platform

AI is now seamlessly integrated into the Omnichat experience, rather than being dispersed across separate apps or websites. This means:

• It remains visible within the Omnichat conversation list.
• Conversations can still be transferred to a live agent.
• The AI maintains access to the complete conversation history.

Consequently, the AI integration avoids creating a disjointed “customer service experience pop-up” and does not function as an isolated component.

5 Core Values Brought by Multi-AI Collaboration

The value this feature brings to enterprises can be condensed into five points.

1. Enterprises Can Freely Build the AI Ecosystem That Best Suits Them

No matter which AI you want to use, as long as it supports API, it can be integrated into Omnichat.

This will change the way enterprises adopt AI:

• In the past: To use a certain AI → the platform must be changed
• Now: The platform remains the same → you can switch AIs freely

Flexibility is greatly enhanced.

2. Uninterrupted Consumer Experience: AI and Live Agents on the Same Platform

When using external AI, you can still:

• Transfer to a live agent
• Keep records
• View context
• Unify the management of the experience across all channels

The consumer experience is entirely seamless; they will not notice a change in the underlying system.

3. Multi-AI Collaboration Flow Can Be Arranged by the Enterprise Itself (Not Decided by a Black Box AI)

Enterprises can control:

• When to use which AI
• Which model to use at which node
• The response standards for different AIs
• When to involve a live agent

This gives enterprises higher controllability and transparency.

4. All AI Responses are Recorded, Allowing for Quality Monitoring and Process Improvement

Omnichat provides:

• Conversation records
• AI response content
• Transfer records

Enterprises can truly “manage AI” instead of letting AI operate autonomously.

The Future of AI Customer Service is Not a Single Model, But an AI Ecosystem

Omnichat’s goal is not to create “one omnipotent AI,” but to become an AI collaboration platform for enterprises:

• You can freely choose the AI that best suits you
• You can combine multiple AIs to handle different tasks
• You can manage all AIs on the same platform
• You can continuously expand your AI capabilities

If you hope to:

• Reduce manual customer service costs
• Increase the automation rate
• Provide a smarter cross-channel experience
• Use the latest AI to enhance customer experience

Then 3rd Party AI Agent Integration is the next capability you must adopt.

Want to try it out? Let us help you build your first multi-AI collaboration flow

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