Technology

Cisco scales AI Assistant for Support with Splunk

Splunk helped the Cisco AI Assistant for Support grow into a foundational component of CX, assisting with over a million cases and achieving 93% customer satisfaction to date.

The business need

The Cisco AI Assistant for Support was created to help engineers detect and solve customer issues, but it needed to scale reliably to meet the growing demand.

Challenge

As the Cisco AI Assistant for Support took on an increasing number of cases, the level of complexity and volume outgrew the methodology in place for monitoring its workflows. Engineers needed a way to scale the solution to grow with demands.​

  • Existing methodology became insufficient as demand of operations increased.
  • Identifying where, when, and why something went wrong became a time-consuming challenge for the people operating the AI Assistant for Support.

Solution

Cisco implemented Splunk Enterprise which offered a robust and scalable solution for monitoring and logging. It enabled more efficient data management and troubleshooting and had the ability to ingest high volumes of data at high rates to support operations.


Outcomes

Enhanced visibility

Splunk dashboards allow for quick access to case histories and workflow logs, saving the TAC engineers overwatching the processes time on case reviews to deliver faster than ever customer support.

Reduced complexity

Simple interface and shared dashboards allow for faster Mean Time To Detection (MTTD) and Mean Time To Resolution (MTTR), as well as easier onboarding and training for new employees.

Scalability and efficiency

The AI Assistant for Support has become a critical component of Cisco TAC, providing the scalability and efficiency needed for operations.

Proactive Monitoring

Splunk ensures all APIs are fully functioning and monitors logs to alert users of potential issues that could impact its ability to operate, allowing for quick remediation before customer experience is impacted.

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