Intelligent Application Support: Using AI to Resolve IT Issues Faster

While engineers should validate the final diagnosis, AI can significantly reduce the amount of manual investigation required.

4. Reducing Repetitive Support Tasks

Application support teams often spend considerable time handling repetitive activities.

These may include categorizing tickets, collecting diagnostic information, checking known errors, sending notifications, and performing routine troubleshooting steps.

Intelligent application support can automate or assist with many of these activities.

For example, when a known application error occurs, an AI enabled support workflow can identify the issue, retrieve relevant diagnostic information, recommend the appropriate resolution, and route the incident to the correct team.

This allows support engineers to spend more time on complex problems that require human judgment.

5. Using Historical Knowledge More Effectively

Organizations accumulate valuable knowledge through previous incidents, support tickets, troubleshooting guides, and technical documentation.

However, finding the right information at the right time can be difficult.

AI can help support teams search and interpret this information using natural language. Instead of manually searching through multiple documents, an engineer can describe the problem and receive relevant troubleshooting information.

Over time, this can help organizations make better use of their existing knowledge base and reduce dependency on individual employees who may be the only people familiar with certain issues.