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Why choose Level AI over Cresta?

Cresta built its name on AI agents — but today’s enterprises need more than that. They need a platform that unifies automation, quality, and customer intelligence end to end. That’s why they choose Level AI over Cresta.

  • One AI platform for the entire CX pipeline vs fragmented, disconnected tools
  • Explainable QA, iCSAT, and VoC analytics vs black-box intent and keyword scoring
  • 100% QA automation with proactive insights vs limited "metric oriented" QA that that breaks on complex interactions
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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 Cresta

Unified CX, Not Fragmented Tools

Level AI connects the entire CX journey — QA, Coaching, VoC, Analytics, Agent Assist, and Virtual Agent — into one intelligent platform while Cresta focuses on helping agents in the moment

Continuously improving AI Agents

Level AI’s native Voice + Chat Virtual Agents are built into the same AI stack, so every conversation feeds continuous improvement. Cresta has AI Agents, but they operate separately from QA and VoC.

100% Auto-QA with explainable AI, not keyword setups

While Level AI’s QA-GPT scores 100 % of conversations with reasoning, evidence, and human-like accuracy Observe AI automates only 20–30 % of scorecard questions using keyword “moments"


Explainable AI That Builds Trust

Every automated decision includes full traceability—sources, policies, reasoning. While Cresta provides dashboards, Level AI shows you exactly why each decision was made, making audits and compliance reviews effortless


Level AI vs. Cresta: A closer look

Unified CX Stack
One AI stack for all of CX: Auto-QA, VOC, Coaching, Analytics, Agent Assist, and Virtual Agent.
Primarily AI agents & conversation intelligence; add-ons for others
Quality Management
Automates 100% of QA with QA-GPT; explainable, human-level accuracy
Automates fewer scorecards; relies on manual keywords; struggles with open-ended QA
Voice of Customer (VOC)
Discover both pre defined and new topics, Level AI uses AI generated 3rd/ 4th level detection of concerns for root cause analysis at interaction level
Topic and subtopic detection limited to predefined topics, with no discovery of new topics.
Inferred CSAT
iCSAT on 100% of conversations; sentiment-enriched, no survey dependency
No inferred CSAT; depends on post-call CSAT (<3% response)
Virtual Agent
Native Voice + Chat AI built on Level AI’s stack; fully integrated with QA, VoC, CI
AI Agent for real-time assist; limited integration with QA/VoC
Analytics & Insights
Intuitive, visual, proactive CX insights for leaders
Behavior/outcome-based but less flexible and user-friendly
Redaction in Screen Recording
Automated real-time redaction using computer vision
Rule based, non-dynamic PCI/PII redaction on text only

What people are saying about Level AI on G2

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.
Kelley Diaz
Administrator
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:

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