An enterprise-grade generative AI platform combining Large Language Models, Knowledge Graphs and Conversational User Experiences to supercharge employee productivity and customer assistance.
Reimagine the Enterprise Knowledge Base
Businesses want to capture enterprise knowledge and make it available to their employees and customers at the right time in the easiest possible ways. Over the years, they have tried various approaches like the intranet, enterprise-search and document management systems, but none have solved the problem.
Zunō.assist reimagines the enterprise knowledge base management with the latest advancements in graph and vector databases, neural search, language models and chat interfaces. It utilizes the existing knowledge bases and makes all that data available as relevant, actionable, and timely insights for employees, customers, and partners. More importantly, Zunō.assist ensures the application of the organizational requirements around accuracy, privacy, security, safety, and access control.
A pragmatic approach to utilizing recent advances in Generative AI
- Generative AI and Large Language Models (LLMs) have opened up new opportunities to develop new experiences for customers and employees. As is the case with any new technology, a careful evaluation that is grounded-in-reality, experience, and value analysis can significantly increase the probability of success with LLMs.
- We bring an approach that utilizes the existing investments in the knowledge bases and builds upon them to enable new experiences. Additionally, it offers a configurable approach that utilizes various technologies and options available to provide most value with least investments.
- Certain use cases or scenarios can be easily implemented combining existing knowledge base with external models. Zunō.assist encourages that wherever sensible and offers a faster time to market and value delivery. Other use cases require more control and security requiring use of purpose-built models that runs within the enterprise environment.
Utilizing the right models and technologies – external, open source and custom built for specific use case. This approach ensures Zunō.assist delivers highest value with investments aligned to the needs.
An incremental approach working closely with business users to ensure the problem is well understood and the solution delivers the promised value – productivity, accessibility, and satisfaction.
Zunō.assist provides businesses with detailed analytics and insights into user behavior and engagement. These insights can help businesses optimize the performance and improve user satisfaction over time.What scenarios can zunō.assist be effective?
Employee Assistance
Timely access to enterprise documentation and knowledge base through a modern Q&A format can help significantly improve the employee productivity. Employees can get quick answers about organizational policies, processes, and various tools to be used.
Customer Advisory
Customers can get the information they need when they need it without needing to speak to the Customer Support team. Customers can ask for information related to user manuals, their accounts, or provide feedback conversationally instead of having to fill boring forms.
Operational Performance Reporting
Managers and executives can get insights into operational performance metrics by asking relevant questions to the databases or products. This enables them to truly understand business performance and the reasoning instead of just reading the pre-built dashboards and reports.
Timely access to enterprise documentation and knowledge base through a modern Q&A format can help significantly improve the employee productivity. Employees can get quick answers about organizational policies, processes, and various tools to be used.
Customers can get the information they need when they need it without needing to speak to the Customer Support team. Customers can ask for information related to user manuals, their accounts, or provide feedback conversationally instead of having to fill boring forms.
Managers and executives can get insights into operational performance metrics by asking relevant questions to the databases or products. This enables them to truly understand business performance and the reasoning instead of just reading the pre-built dashboards and reports.
