Cobbai

AI agents for customer service

Paid

Description

Cobbai offers a suite of AI agents designed to enhance customer service operations. Its platform deploys specialized agents—Front for direct customer interactions, Companion for assisting human support agents, and Analyst for routing and analyzing communications—across various touchpoints like chat, email, and integrated help desks. These agents aim to provide instant resolutions, improve response times, and increase overall efficiency.

The system allows users to train and manage their AI agents through a four-step process: coaching with specific instructions and resources, testing performance in a sandbox environment, activating agents within defined scopes, and continuously monitoring outcomes to optimize performance. Cobbai integrates with existing tools and offers features like response drafting, summarization, translation, ticket routing, sentiment analysis, and product feature detection, turning customer interactions into actionable insights and opportunities for growth.

Key Features

Front Agent: AI for direct customer interaction, handling queries, pushing resources, and sales.
Companion Agent: AI assistance for human agents, drafting responses, summarizing, and translating.
Analyst Agent: AI for routing tickets, qualifying reasons, analyzing sentiment, and identifying product insights.
Multi-channel Deployment: Operates across chat, email, self-service portals, and integrated help desks.
Cobbai Chat: Customizable AI-powered chat interface for websites and internal platforms.
Agent Control Center: Tools to Coach, Test, Activate, and Monitor AI agent performance and scope.
Integrations: Connects with existing help desk ecosystems.
LLM Flexibility: Supports GPT models, Mistral Large, and Bring Your Own LLM.
Retrieval-Augmented Generation (RAG): Uses past answers and knowledge bases for context.
Voice of Customer (VoC) Analytics: Provides insights on sentiment, trends, and service gaps (Add-on).

Use Cases

Automated Customer Support
Sales Enablement through Support
Support Agent Assistance
Intelligent Ticket Routing
Voice of Customer Analysis
Product Roadmap Development
Multi-lingual Support
Customer Feedback Categorization

Frequently Asked Questions

What is a request in Cobbai?

A request, also called a conversation, is a unique feedback message written by one of your customers, like a review or a support ticket.

How does Cobbai pricing work?

Pricing consists of a monthly base fee depending on the plan features, plus generative AI consumption costs based on LLM usage, and potentially a control fee per request for certain features.

How much does the generative AI component cost?

GenAI costs depend on the LLM selected, the number of requests, and their length. The typical cost per ticket ranges from €0.03 to €0.20.

What is a project in Cobbai?

A project allows you to select a set number of integrations and comments to implement a specific workflow, often aimed at improving particular CX metrics.

What is Retrieval-Augmented Generation (RAG)?

RAG is an NLP model combining retrieval (selecting relevant info from a knowledge base) and generative components (crafting responses based on retrieved info) for tasks like question-answering.