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.
Beyond Traditional AI: How Level AI Outperforms Maestro QA
Automated QA That Scales
MaestroQA still depends on manual rubrics and limited case reviews. Level AI automates 100% of QA with explainable AI that provides reasoning, timestamps, and evidence for every score — helping teams scale quality and accuracy instantly.
Faster, smarter QA — no sampling required.

Explainable AI You Can Trust
While MaestroQA’s AI relies on third-party LLMs, Level AI’s proprietary models are trained on CX data — designed for clarity, precision, and security. Every automated decision includes full reasoning and traceability, making audits effortless.
Every score explained. Every decision auditable.

One Platform for the Entire CX Pipeline
MaestroQA focuses on QA alone. Level AI unifies Auto-QA, Coaching, VoC, Analytics, Agent Assist, and Virtual Agent in a single, connected stack — giving leaders complete visibility into performance and customer insight.
One AI. One truth. One CX system.

Faster Time-to-Value with Phased Rollout
Level AI’s sandbox testing and phased deployment means you see ROI in weeks, not months. Start with high-impact use cases, validate in safe environments, then scale with confidence.
6-week average vs. 4–6 month typical deployments

The results with Level AI
Level AI vs. Meastro QA: A closer look
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