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      Seamless translations in support tickets

      Seamless Multilingual Support in JSM

      Our AI translation Integration uses Jira Automation, API calls and clever configuration to create a seamless translation interface for multilingual support teams. Customers won't even notice that their communication on the ticket is translated. Once the setup of custom fields and automations is completed, the summary of incoming requests will automatically be translated as well as all the comments in the issue. Customers will see relevant information only in their native language. 

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      Seamless Communication & Experience:

      Break down language barriers effortlessly. Our AI integration automatically translates ticket summaries and comments in real-time, allowing customers and global support teams to interact naturally in their own languages, minimizing friction and significantly improving the customer experience.

      Native Efficiency & Cost Control:

      Enhance your global support operations without added complexity. This solution leverages native Jira automation and APIs – no extra apps required – helping control service costs and enabling efficient 'follow the sun' support models by streamlining cross-border communication.

      References

      After eight years: update and expansion of the Jira reporting system in the Nuremberg parking garage

      PS Parkhaus Service Nürnberg GmbH manages eight parking garages in the city center and five parking garages in the Nuremberg metropolitan area. In 2011, Atlassian partner catworkx was hired to implement a system for message tracking that would provide the greatest possible transparency in automated message volume, classification of message processes, their internal management and traceability. Jira was used as the basic solution at the time. An interface developed by catworkx (Transfer Agent) has since been ensuring communication between Jira and the parking garage intercom system. After eight years of stable operation without updating the system, new requirements (time tracking, long-term parkers, master data maintenance) made it necessary to update and expand the previous reporting system in 2019.

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