Why choose Level AI over Verint?

Verint built its reputation on speech analytics, bots, and quality monitoring — but modern CX teams need more than siloed modules. They need a unified AI platform that connects quality, automation, and customer insight in real time. That’s why they choose Level AI.

One unified CX intelligence stack vs legacy, duct-taped product suite
Explainable QA-GPT with reasoning and evidence vs black-box automation and static dashboards
Real-time iCSAT and AI-driven coaching vs after-the-fact analysis and manual reviews

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Trusted by customer service leaders across the world

The results with Level AI

25%

increase

in CSAT

45%

increase

in ASAT (Agent Satisfaction)

90%

time

saved in QA monitoring

100%

better

insights into the business

Beyond Traditional AI: How Level AI Outperforms Verint

Unified AI-native platform vs fragmented legacy tools

Level AI integrates Auto-QA, VoC, Analytics, Agent Assist, and Coaching within one modern platform. Verint relies on multiple legacy modules with manual exports and disjointed workflows across QA, analytics, and VoC.

Real-time, explainable Auto-QA vs keyword-based manual reviews

Level AI’s QA-GPT automates evaluation of 100 % of conversations with reasoning, timestamps, and quotes for every score. Verint’s QA depends on static keyword tagging—no reasoning, evidence, or real-time evaluation capabilities.

Built-in Coaching and Calibration vs no coaching visibility

Level AI includes a dedicated coaching module and QA calibration to ensure evaluator alignment and consistent feedback. Verint offers no dedicated coaching interface or calibration module—feedback is limited to comment fields on individual calls.

Dynamic VoC insights vs static Excel exports

Level AI surfaces emerging themes and root causes from 100 % of interactions in real time. Verint’s VoC requires exporting predefined reports to Excel, filtering manually, and often missing hidden patterns.

Platform Scope

Unified CX AI platform combining AI Virtual agent, QA, VoC, Assist, Coaching, Analytics

Fragmented legacy suite; siloed QA, VoC, and analytics modules with manual exports

Quality / Auto-QA

Auto-QA (GPT) evaluates 100 % conversations with reasoning and timestamps

Keyword-based rules; manual sampling and no explainable scoring or automation

Voice of Customer (VoC)

Detects emerging themes and root causes in real time from all interactions

Requires exporting predefined reports to Excel for manual analysis and filtering

Inferred CSAT (iCSAT)

Infers CSAT and sentiment across 100 % of calls using AI models

Relies on survey responses; no automatic sentiment or iCSAT coverage

Agent Assist

Real-time guidance, summaries, and manager visibility with intent-based AI support

Alerts only on keywords (complaints, interruptions); no semantic understanding

Screen Recording

Synced audio + agent desktop recording for quick context and QA validation

Separate recording systems; not layered with audio or QA interface

AI Virtual Agent

Native AI voice and chat agents integrated with QA and VoC ecosystem

No AI agent product; depends on third-party bot integrations if any available

Screen Recording

Automated real-time redaction using computer vision

Offers trigger-based methods to redact PII in recordings

What people are saying about Level AI

Amazing Partnership and Product!

Level AI has been one of the best AI companies I've worked with. Their product speaks for itself and they are amazing at delivering and setting your business up for success. Most of the time when you onboard a new product into your call center there's always something negative about it but we have been with Level for a year now and I can't say anything negative about it.

Administrator

VP Delivery and Business Systems

Source:

AI-powered insights for great CX!

LevelAI is a transformative platform that offers insights into how we can improve the employee and customer experience by identifying areas of opportunity. It scores ~100% of interactions across channels and provides data around sentiment, trending topics/sub-topics, and more. This allows us to easily decide where we should focus our human resources to get the most value when conducting VoC and coaching analysis.

Corinne Flanagan

Administrator

Source:

Efficient. Accurate. Level AI

My team's needs focused on quality and CX improvement while reducing cost. LevelAI is helping us to automate repetitive tasks for our agents and their managers - allowing them to focus on the "human touch" and process tasks more quickly. With automated Instascore, call transcription, "tags", etc. we will be able to dramatically improve both the quantity and depth of QA feedback with significantly less manual effort.

Josh Douglas

Executive Director, Contact Center Ops

Source:

Why choose Level AI over Verint?

The results with Level AI

Beyond Traditional AI: How Level AI Outperforms Verint

Unified AI-native platform vs fragmented legacy tools

Real-time, explainable Auto-QA vs keyword-based manual reviews

Built-in Coaching and Calibration vs no coaching visibility

Dynamic VoC insights vs static Excel exports

Level AI vs. Verint: A closer look

What people are saying about Level AI

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