Why choose Level AI over MaestroQA?
Don’t Just Grade. Transform.
MaestroQA made its mark with manual rubrics, but its AI layer is still a wrapper on third-party LLMs — rigid QA, manual coaching, unsynced screen recording, and black-box AI that managers have to double-check.
Level AI takes QA further. Our One AI platform unifies Auto-QA, Coaching, Analytics, Voice of Customer, Agent Assist, and Virtual Agent in a single stack. Powered by proprietary CX-trained generative AI, Level AI delivers explainable QA with reasoning and timestamps, iCSAT on every interaction, and integrated screen recording.
The result: Faster evaluations, smarter coaching, and real-time insights that continuously elevate agent performance and the entire CX pipeline.
Compare Level AI
With purpose-built, proprietary AI models to help contact centers exceed customer expectations and drive profitable business growth, Level AI is the superior alternative to MaestroQA.
Point solution for QA rubrics; manual workflows; 3rd-party LLM relianceWrapper on open source model; less secure, less customizableManual, rules-driven QA; ~1–3% coverage, case sampling, unsynced screen recordingsNo native Virtual Agent; limited GPT copilotsManual coaching on transcripts; no real-time supportLimited reporting; GPT Q&A only; no trend surfacingSeparate, unsynced with audio; cumbersome QANo VoC; manual rubrics + surveys onlyNo iCSAT; post-interaction surveys onlyHigh-maintenance: rubric edits, keyword updates, 3rd-party promptsWhat people are saying about Level AI
The Best AI In The Industry
Frequently asked questions
MaestroQA is a basic quality management platform that helps businesses evaluate customer service interactions. However, in today's rapidly evolving AI landscape, its traditional approach often falls short, offering limited capabilities compared to Level AI's cutting-edge, generative AI-powered solutions.
MaestroQA integrates with existing customer service tools for data collection and agent evaluations. While functional, this method often relies on manual processes and outdated analytics, failing to leverage the advanced AI and automation.
Businesses seeking a rudimentary QA solution might consider MaestroQA. However, organizations aiming for genuine transformation in customer experience, advanced AI-driven insights, and superior agent performance will quickly find MaestroQA's offerings insufficient.
MaestroQA offers features like automated scoring and basic analytics. While these are standard, they often lack depth, precision, and innovative power.
MaestroQA pricing is based on the number of agents in your team, the level of support you need, and the specific features required.
While some users find MaestroQA easy to set up, customer reviews consistently highlight its significant limitations:
- Limited QA functionality: It trails competitors in innovation.
- Poor UI: Not user-friendly, leading to frustration.
- Inaccurate transcriptions: A critical flaw in quality assurance.
- Difficulty in customization: Fails to meet specific business needs.
- Lacking metrics and reporting: Hinders effective performance analysis.
MaestroQA has a number of competitors who also have the ability to record and evaluate customer interactions, track agent performance, and deliver coaching. However, there are some key differences between the different products and some competitors offer more advanced AI-powered capabilities, and/or more robust reporting and analytics features. Below are some MaestroQA competitors:
New entrants to the market over the last few years –
Veteran vendors running on legacy platforms –
With the advancement of leveraging generative AI and large language models (LLM) to automate critical tasks and improve business efficiency, a key aspect when looking for a conversation intelligence, quality assurance, or a comprehensive contact center performance management software that also include coaching and agent assist is the quality of underlying AI technology. Download our e-book, ‘How to evaluate AI for your contact center’ to learn more about how AI can boost business performance and streamline operations, and what ‘good AI’ means regarding contact centers.
