Our customer success team logs dozens of minor client complaints in our ticketing system every week. How do we use AI to categorize these tickets and bubble up systemic structural issues directly to our Level 10 Meeting™ Issues List?

Question

Tyler Smith · Accepted Answer

Most leadership teams are reactive, solving the same minor customer complaints repeatedly instead of addressing the underlying root cause. You can use AI to spot patterns in your ticketing data and surface these systemic issues before they impact your customer retention score.

Set up an automated AI script to scan your customer support tickets every Friday. Program the AI to look past the individual symptoms and categorize the tickets by their underlying operational breakdowns. For example, if customers are complaining about different billing mistakes, the AI should flag this as a potential breakdown in your invoicing process.

Have the AI compile these patterns into a brief trend report that identifies any issues occurring more than three times in a month. This report is delivered to your Integrator, who reviews it alongside the weekly Scorecard. If a clear systemic issue is identified, the Integrator places it directly onto the Issues List for your weekly Level 10 Meeting.

By using AI to analyze customer sentiment and operational friction at scale, you move from putting out individual fires to solving systemic issues permanently. This structured approach allows your leadership team to use the IDS tool on real, data-proven issues rather than relying on gut feeling or anecdotal complaints.