Our natural language assessment offering
Our natural language assessment service is designed to help organisations access the value trapped in their unstructured data, such as chat interactions, call recordings and transcripts, knowledge repositories, text documents, emails, customer feedback and social media posts. By leveraging the latest in natural language technology including Generative AI and Large Language Models, we can identify transformational insights hidden within this data.
Our team of experts can then provide actionable recommendations on how to use this information to hear the voice of the customer, improve business processes, increase customer satisfaction, improve contact deflection, and drive better decision-making. With our natural language assessment, you can gain valuable insights and make data-driven decisions to improve efficiency, increase productivity, and drive business success.
We offer an entity recognition service to help organisations understand and extract important information from unstructured text data. Using advanced natural language processing and machine learning techniques, we can accurately identify and classify named entities, such as people, products and services, vulnerabilities, organisations, locations, and events, from large volumes of text data.
Our entity recognition service can be used in many ways, including information extraction, contact prioritisation and routing, text summarisation, and sentiment analysis. By accurately identifying and extracting named entities, organisations can gain valuable insights and make data-driven decisions to improve efficiency, increase productivity, and drive business success.
In addition to our entity recognition service, we also offer an intent modeling service can be applied to a variety of use cases, including virtual assistance, contact prioritisation and routing, contact insight, and customer service systems. By accurately identifying customer intent, organisations can improve the customer experience, reduce miscommunications, and drive better business outcomes.
We’ll help you identify where and how to use Natural Language Generation technologies to summarise text to improve operational efficiencies – for example eliminate the need for a customer service advisor to manually summarise a call as part of their call wrap obligations – we’ll show you how this can be done in a secure and reliable way, protecting your customer’s data and your reputation.
Contextual Question Answering
Identify where your existing organisational data and knowledge resources can be quickly applied to customer interactions without needing them to be “relayed” by a human agent.