Hi Madicken,
I've run into a very similar limitation while working with AI Scoring.
From what I've seen, fully automated AI-scored evaluations are still not reflected in the same way as traditional evaluator scores in the agent evaluation reporting experience. This makes it difficult to create a consolidated view that includes both AI scores and human evaluator scores.
I believe this is part of a broader gap in the current fully automated evaluation process. Today, agents do not have the same level of visibility, notification, or dispute/contestation options that they would normally have with standard quality evaluations.
I created an idea related to this topic here:
Allow agents to view and dispute fully automated evaluations
The idea is mainly focused on agent visibility and dispute workflow, but it also connects to the same broader need: making AI Scoring more transparent, actionable, and better integrated into quality processes.
It would be great to see more native reporting and evaluation visibility options that allow organizations to use AI Scoring not only at scale, but also in a way that supports agent development, coaching, and trust in the process.
------------------------------
Mateus Nunes
CX Manager at Solve4ME
mateus.nunes@solve4me.com.brBrazil
------------------------------
Original Message:
Sent: 05-20-2026 06:55
From: Madicken Braaksma
Subject: AI scoring reports
I am working on AI scoring, and I'm running into the issue that there are no proper reports available. I can only find the conversations scored by AI in the interaction overview. The scores are also not included in the agent evaluation scores. Is there another way to obtain an average score from both AI and an evaluator?
#AIScoring(VirtualSupervisor)
------------------------------
Madicken Braaksma
Quality monitoring lead
------------------------------