By combining Generative AI inside a conversational AI for MS Teams bot, Workativ builds a highly efficient collaborative ITSM infrastructure that reduces human workloads in various ways.
Generative AI-powered search feature for a conversational AI bot reduces the time it takes for users to find relevant information about any issues instantly.
Workativ helps ITSM leaders build large language models with cases relevant across the industry and domain-specific use cases.
Applying the world of knowledge, including specific industry data, Generative AI in Workativ conversational AI makes it easy to retrieve information specific to IT and non-IT scenarios in consolidated forms along with citations.
It is easy for users to leverage only relevant information to solve a specific issue instead of going through an entire article and increasing MTTR.
At a time when citations ensure the veracity of information, users become more confident in using self-service for common IT issues.
This helps agents avoid addressing repetitive issues and instead use creativity to solve critical issues for higher tiers in the ITSM.
When Workativ allows agents to use a shared live inbox, it brings all agent interactions into one screen, enabling everyone to leverage real-time updates of issues. As a result, if an agent struggles to offer the proper recommendations for a specific case, a more skilled or expert agent can arrive to help and reduce MTTR.
Another effective use case of a shared live inbox that simplifies interaction for agents and accelerates crisis response is LLM-powered recommendations for chat. Using internal knowledge bases, Generative AI can recommend suitable AI-powered suggestions to reduce the time to craft a response yet communicate effectively to mitigate an issue.
Ultimately, faster crisis communication and response help reduce MTTR and maintain ITSM SLA.





