Floatbot QnA - Cognitive Search

Find Answers from Unstructured Data with Floatbot QnA - Cognitive Search

Leverage AI-Powered Cognitive QnA to enable your customers and employees to find answers from unstructured, diverse datasets - pdf, Word, knowledgebase, or website pages. It is powered by deep tech capabilities, such as unsupervised self-learning, NLP, semantic search, and fuzzy matching.

Use Cases -

Build AI Agent Assist

Build an AI Agent Assist on top of Floatbot QnA (Cognitive Search) to help your human agents discover answers to customer queries. Solve customer issues faster, boost agent productivity, increase customer satisfaction (CSAT) scores, and reduce MTTR (Mean Time To Resolve).


Enable Customer Support

Deploy conversational AI Chatbots and Voicebots powered by cognitive search to automate customer support, helping customers to discover and access FAQs and information related to your products and services. Enable self-service, provide 24x7 customer support, and reduce support costs.


Deploy Employee Assist

Deploy Cognitive Search on top of enterprise search to enable your employees to discover and access relevant information accurately. Help new employees become comfortable with the organizational knowledge base and accelerate the training process.

Business Benefits

- Increase Agent Productivity by 50%

- Increase CSAT Scores by 80%

- Reduce Operational Costs by 40%

- Reduce Bot Training Efforts by 98%

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