Enterprise-Ready AI to Boost Customer Engagement | Rasa Blog

Enterprise-Ready AI to Boost Customer Engagement

Posted Sep 04, 2024

At Rasa, we’ve developed a breakthrough approach that perfectly balances conversational flexibility with strict adherence to business logic and internal processes–delivering enterprise-grade AI solutions that truly work. Here’s how:

The AI Chatbot Solution Every Enterprise Needs

Enterprises struggle with unreliable LLM-powered chatbots that promise flexibility but often fail in consistent real-world applications. To tackle this, Rasa tested CALM (Conversational AI with Language Models) against Langchain/LangGraph to pinpoint the most practical and dependable solution for meeting enterprise needs.

CALM separates the chatbot's conversational ability from business task execution like a team where one person talks to the customers and another handles technical tasks. This separation allows each part to work efficiently without interference, making the AI assistant more reliable, faster, and cheaper to operate.
LangGraph combines conversational ability and business task execution into one process, like having one person manage both tasks at once. This approach can slow things down, lead to more errors, and increase costs as the system becomes overwhelmed.

The results: By separating conversational ability from business logic, CALM outperforms LangGraph in key business metrics. It offers the flexibility of LLMs while ensuring dependable, efficient, and cost-effective performance.

Cut Costs by 78% with CALM: Operational costs are $0.04 per user message vs. $0.10 for LangGraph. Even when users change their minds, CALM keeps costs low, while LangGraph’s costs rise.

Deliver Responses 3x Faster: CALM delivers rapid response times compared to LangGraph, providing a smoother customer experience.

Ensure Reliable Performance: With CALM’s structured approach, tasks align with predefined business logic accurately and consistently. In contrast, LangGraph often struggles with errors that impact customer satisfaction.

You can find all the technical details of the comparison here.

AI Agent Approach Optimized for Enterprise Requirements

Unlike AI agents that blend conversational abilities and business logic, CALM keeps them separate. This way, conversations run smoothly while business tasks are handled reliably. What you can expect:

Improved Control: Consistent use of business rules and processes.
Flexibility: Allows the AI to handle natural conversations and unexpected user changes without compromising accuracy.
Consistency: Delivers reliable responses and follows business logic in every interaction, making it ideal for enterprise environments.

What This Means for Your Business

With CALM, businesses can now deploy AI-powered assistants that:

Improve operational costs
Reduce risk from AI hallucinations
Enhance customer interactions and increase resolution rates
Maintain high accuracy and reliability

With this unique approach, your business can provide customers with responsive, conversational assistants that support quality and trust, while simultaneously cutting costs and boosting efficiency.

Ready to leverage AI for your business?