How SuperLedger analyzes a call, start to finish
Every call your AI handles goes through the same automatic pipeline: it's pulled in from your CRM, its recording is fetched and transcribed, then the AI analyzes it for outcome, sentiment, and quality. Transferred calls get a second pass that grades how your team handled the handoff, and finally the call is checked for knowledge gaps and any alert conditions. The whole thing runs on its own within a few minutes of the call ending.
Before you start: a connected GoHighLevel integration with monitoring on.
The journey of a call
- It arrives. As soon as a call happens, SuperLedger ingests it from your CRM.
- The recording is fetched and saved so you can play it back.
- It's transcribed into text.
- The AI analyzes it — summary, sentiment, the outcome (resolved, escalated, etc.), the AI Score, and whether it was spam or a web lead.
- It's classified — real customer call, spam/robocall, automated system/IVR, or web-lead event.
- If it was transferred to a person, a second pass listens to the part after the handoff and grades how your team handled it.
- Gaps are detected — places the AI didn't meet the caller's expectation (Gap Analysis).
- Alerts are checked — surges, quiet locations, critical calls, and more (Alerts).
What happens next
Each step shows on the call's Processing Pipeline card, marked complete, pending, failed, or not applicable. Recordings sometimes arrive a few minutes after the call, so a step may briefly show pending — that's normal.
What's left out
Test calls, spam and robocalls, automated system/IVR calls, and very short pings that never become a real conversation are filtered out of your customer metrics. See Which calls count, and which are excluded?.