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MaestroQA takes a traditional, manual approach to QA.
Loris automates quality insights using AI
to analyze 100% of human and bot conversations.
“We have actually shaved a little over three minutes of AHT now that we don’t have the agent tag tickets anymore.
That has reduced our cost per case by 23%.”
Proven AI models transform every call, chat, and email into quality intelligence data.
Streamline your quality program, using AI to pinpoint issues without needing a scorecard.
If you’re looking to do more than check the QA box, Loris is clear choice.
Quality Assurance Features |  |  |
|---|---|---|
AI-Powered Customer Service QA Platform | YES | NO |
QA Coverage for 100% of Human and AI Agents | YES | NO |
Customizable AutoQA Policy Builder | YES | NO |
Proprietary AI Models Proven on 500M Conversations | YES | NO |
Instant Agent Insights without a Scorecard | YES | NO |
Ability to Get Started in Weeks | YES | NO |
 | YES |
| NO |
| YES |
| NO |
| YES |
| NO |
| YES |
| NO |
| YES |
| NO |
| YES |
| NO |
MaestroQA is an established provider in the call center quality assurance software space. For more than 10 years, MaestroQA’s approach has been to digitize manual QA spreadsheets and paper-based processes to preserve much of the traditional QA process in its digital quality and coaching tool. As AI for QA providers have appeared in this space, this approach has become increasingly dated.
MaestroQA has a number of both traditional and emerging competitors in the quality assurance and customer analytics categories.
New entrants to the market over the last few years:
Offerings more similar to Maestro’s or focused on the SMB market:
Like other tools in this space, MaestroQA connects to your customer service platform and collects data on customer interactions, such as calls, chats, or emails. It then uses this data to create evaluations and scorecards for agents, helping businesses identify areas for improvement.
The main issue with MaestroQA is the need for extensive customization and lack of true automation. While this makes it effective for organizations who have the time and resources for a large, complex QA operation, it’s not as effective for organizations either using more chatbots/AI Agents or who want to streamline their quality programs.
MaestroQA is best for organizations who want a traditional quality program. That includes dedicated QA managers, QA analysts, and even QA operations to define and refine quality workflows. This is a more human-driven approach, meaning that increases in agents would likely need an increase in supporting quality staff. Organizations choosing MaestroQA would be more focused on maintaining human reviewers in their quality feedback loop and less focused on deriving data about the relationship between agent performance and customer experience.
