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Why choose Level AI over MaestroQA?

MaestroQA built its name around rubrics and manual QA, but its AI layer is mostly a wrapper on third-party LLMs. That means QA is rigid, coaching is manual, screen recording is unsynced, and AI suggestions often feel like a black box that managers have to recheck.

Level AI takes a fundamentally different approach. Our One AI platform unifies Auto-QA, Coaching, Analytics, Voice of Customer, Agent Assist, and Virtual Agent in a single stack. With proprietary generative AI trained on CX data, explainable QA that shows reasoning and timestamps, iCSAT on 100% of conversations, and integrated screen recording, Level AI helps you evaluate faster, coach smarter, and act on insights in real time. Instead of just grading

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Trusted by customer service leaders across the world

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.

Unified Platform
Unified CX stack: Auto-QA, VoC, Coaching, Analytics, Agent Assist, Virtual Agent
Point solution for QA rubrics; manual workflows; 3rd-party LLM reliance
Generative AI Edge
Proprietary GenAI trained on CX data; scalable, secure, customizable
Wrapper on ChatGPT/Claude; less secure, less customizable
100% QA Automation
100% Auto-QA coverage with QA-GPT; explainable reasoning, timestamps, evidence
Manual, rules-driven QA; ~1–3% coverage, case sampling, unsynced screen recordings
AI Virtual Agent
Native Voice + Chat VA; fully integrated with QA & VoC
No native VA; limited GPT copilots
Coaching
Real-time coaching, live summaries, personalized libraries; 100% interaction coverage
Manual coaching on transcripts; no real-time support
Advanced Analytics & Insights
Visual, proactive dashboards; concern mining + query builder
Limited reporting; GPT Q&A only; no trend surfacing
Screen Recording
Integrated dual-screen recording with PCI/PHI redaction
Separate, unsynced with audio; cumbersome QA
Voice of Customer (VoC)
Supervised + unsupervised models surface new & emerging concerns
No unsupervised VoC; manual rubrics + surveys only
Inferred CSAT
iCSAT on 100% of conversations; sentiment-enriched
No iCSAT; post-interaction surveys only
Deployment & Maintenance
Lightweight (3–5 phrases); self-learning from near misses
High-maintenance: rubric edits, keyword updates, 3rd-party prompts

What people are saying about Level AI

Level AI's semantic-based system is unique. We are getting a minimum of 82% accuracy from Level AI semantic tags. Overall 2x better than anything we have tested.
Chris Lewis
Contact Center Product Manager
We want to be able to do analytics for product, ops and contact center teams while supporting customer service. Level AI's intent based system + omnichannel is unique.
David Demarco
VP Delivery and Business Systems
Level AI helps us solve quality assurance, product management, and customer service pain points. As we scale, cannot imagine the business without Level AI.
Yuliya Ordova
Senior Director, CS Strategy

The Best AI In The Industry

QA Auditors
5x
faster
QA evaluations mean more time for agent coaching
Agents
30%
decrease
in Agent Churn
Business Leaders
100%
visibility
into VoC insights
Customers
25%
increase
in CSAT score
Contact Center Leaders
20%
increase
in contact center efficiency

Frequently asked questions

What is MaestroQA?

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.

How does MaestroQA work?

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.

What types of businesses can benefit from MaestroQA?

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.

What are the key features of MaestroQA?

MaestroQA offers features like automated scoring and basic analytics. While these are standard, they often lack depth, precision, and innovative power.

How much does MaestroQA cost?

MaestroQA pricing is based on the number of agents in your team, the level of support you need, and the specific features required.

What do MaestroQA’s customer reviews say?

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.
Who are MaestroQA’s competitors?

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.

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