You don't need to train the bot over thousands of intents. Through unsupervised learning, AI Agent Assist self-learns from unstructured data - website pages, scripts, documents, pdf, Word, and knowledge base.
Understand how the bot enhances your agents' ability to interact with customers via text-based communication.
Learn how the bot supports your agents during customer calls.
Based on the conversation with the customer, the bot
The bot has Cognitive QnA capabilities - It performs QnA on unstructured KB, past cases, PDF, and website content to resolve user queries in less than 5 seconds.
The Agent Assist tool listens to calls (and monitors chat), understands context and intents, and provides real-time suggestions/nudges when the agent is talk (or chatting) to the customer. The bot is specifically trained for pre-sales, and sales conversations.
Agent Assist detects user sentiments and guides agents to take appropriate actions - it makes customers feel you care about them and helps you win their trust and loyalty.
The bot ensures that agents are performing optimally. It regularly looks for the scope for improvement and guides agents accordingly.
The bot helps ensure your human agents adhere to rules and regulations and flags any inappropriate behaviors.
Thanks to Agent Assist, human agents can focus on creating better customer experiences rather than wasting time looking for information in the script of other documents.
With AI Agent Assist in place, agents always know what to say. It leads to faster resolution of customer queries and lower MTTR.
Real-time Agent Assist saves a great deal of time, enabling human agents to attend to more customers and reducing the average cost per customer.
Floatbot AI Transforms Customer Support for Leading Computer Manufacturer
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