Tricentis Case Study: Building An AI Engine with TheLoops & Gainsight

What does a fully running predictive AI Engine for Customer Support and Customer Success really look like?

How does it help B2B companies with high volumes of cases and multiple systems of record really impact customer retention and loyalty while also improving internal employees productivity and efficiency?

How can you quantify the impact of AI like this?

These were the very challenges and questions Genady Rashkovan, Vice President of Global Support at Tricentis set out to accomplish and did through his integration of TheLoops AI with ServiceNow, Gainsight, Salesforce and Slack. In this four page case study, read how Tricentis determined where to start first, when to collaborate with other teams and what they discovered about their gold mine of Support data.

You’ll read more about TheLoops prediction of escalation, prioritization of agent queues, and AutoQA use cases.

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