Platforms

Knowledge discovery

converse360's Assist-Me utilises Natural Language Processing (NLP) to enable chatbots and virtual assistants to serve relevant information to customers quickly and accurately.

ai assistant knowledge discovery
Business applications and conversational ai assistant

Pre-trained data and complex dynamic content

Assist-Me enables users to retrieve pre-trained answers as well as more complex and dynamic content found in documents, knowledge bases, databases, product manuals, and business applications such as CRM and Service Desk.

This includes the ability to retrieve content from a variety of different formats and technologies - from spreadsheets, pdfs, transcripts to social feeds and entire websites.

Machine learning for continual improvement

Responses to some enquiries may include content that rarely changes, where pre-trained answers from FAQs or workflows will guide customers and resolve their query accurately. With integrated machine learning knowledge will continuously improve from user interactions, this enables organisations to create and deploy custom machine learning models based on domain expertise to increase accuracy.

Where answers are dynamic and constantly changing, the system can be trained to search through specific content that exists in different formats that are typically challenging for traditional search technology to interpret (PDFs, Excel tables, PowerPoint). With our embedded AI, information can be intelligently labelled and indexed within your enterprise document library (headers, footers, content, images, tables) enabling smart discovery of precise answers from within bodies of text.

conversational ai assistant  machine learning
conversational ai assistant CRM

Search and use data within business applications

Assist-Me can search for information and content found in business applications including CRM, Service Desk, HR systems, databases or industry specific systems. Data can be retrieved to help identify customers for ID&V, or to provide users with tailored and personalised responses.

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