FROM AGENTS TO SUPER AGENTS - AI AGENT ASSIST BOTS EMPOWERING HUMAN AGENTS AND BOOSTING THEIR PRODUCTIVITY

Floatbot QnA helps agents find answers from unstructured datasets - Word documents, PDFs, website pages, and knowledgebase. You don't have to train it - it trains itself through unsupervised learning through unstructured documents, agent scripts, web pages, etc.

Cognitive QnA improves the search experience as it finds answers based on the search intent.

The AI Agent Assist tool monitors conversations, understands context and indents, and provides real-time suggestions/nudges - while the agent is talking/chatting with the customer.

The bot (Virtual assistant) finds answers (suggestions) by itself according to customer queries.

AI Agent Assist finds answers to customer queries and helps human agents focus on delicate or complex tasks - building relationships, generating sales opportunities, and closing deals

Based on pre-defined conditions, AI Agent Assist triggers workflows in Agent App and helps human agents streamline trivial tasks

While talking to your customers, your agents can ask the AI Agent Assist (a chat or voice interface) to find information. The bot finds information quickly, sparing the human agent to sift through the pages of the script or other documents.

Floatbot's Agent Assist AI can find information from unstructured documents and learn from the unstructured knowledge base.

Real-Time Agent Assist listens to the call, understands what the customer want (analyzing the context, intent, and sentiments), and suggests appropriate answers to the human agent in real-time.

It enables human agents to solve customers' issues quickly, reducing MTTR (Mean Time To Resolve).