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Why choose Level AI over Decagon?

Leading enterprises are moving beyond AI agents in isolation — choosing Level AI’s unified CX intelligence platform to connect automation, quality, and performance into one seamless system.

  • End-to-end CX platform vs single-purpose automation engine
  • Explainable QA and VoC intelligence vs black-box agent workflows
  • Human + AI collaboration at scale vs isolated virtual agent execution
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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 Decagon

CX Intelligence Beyond Agent Automation

Level AI doesn’t stop at automating conversations — it connects QA, VoC, Coaching, Analytics, and Agent Assist into one seamless platform for smarter, faster operations.

One platform, total CX visibility.


Explainable QA That Builds Confidence

Every AI decision is transparent — complete with reasoning, timestamps, and supporting evidence — so teams can trust and act on every score.

No black boxes. Just clarity.



iCSAT That Scales Across Every Interaction

Measure satisfaction in real time with inferred CSAT on 100% of conversations, no survey fatigue or manual tagging require


Instant sentiment. Zero surveys.

Continuous Feedback That Scales

Level AI’s iCSAT and QA data feed directly into coaching and automation, creating a feedback loop that improves both agents and AI over time.

A system that learns — and gets better every day.


Level AI vs. Decagon: A closer look

Platform Scope
One AI stack: Auto-QA, VoC, Coaching, Analytics, Agent Assist, Virtual Agent
Primarily AI agent automation; limited CX intelligence coverage
Quality Management
QA-GPT automates 100% of QA with explainable reasoning, timestamps, and evidence
QA capabilities not core; focuses on agent logic and automation flows
Voice of Customer (VoC)
Unsupervised + supervised models reveal emerging themes, issues, and sentiment trends automatically
Conversation-based insights; limited VoC discovery and analysis depth
Inferred CSAT (iCSAT)
iCSAT on 100% of conversations; sentiment-enriched, real-time satisfaction tracking
Measures resolution outcomes; does not include inferred CSAT at scale
AI Virtual Agent
Native Voice + Chat Virtual Agents fully integrated with QA and analytics for continuous learning
Multi-channel AI agents (voice, chat, SMS, email) powered by AOPs; standalone automation layer
Analytics & Insights
Unified dashboards connecting QA, VoC, and performance metrics; proactive, visual insights
Agent performance analytics focused on automation behavior and routing accuracy
Agent Assist & Coaching
Real-time Agent Assist and coaching modules tied to QA for faster, data-driven improvement
AI assist capabilities exist, but centered on agent logic and task handling
Deployment & Maintenance
Lightweight setup (3–5 phrases) with continuous self-learning and rapid rollout
Custom AOP authoring and logic iteration per workflow; longer deployment cycles

What people are saying about Level AI

One Stop Contact Center Solution
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
Source:
2x better than anything we've tested
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
Source:
We cannot imagine business without Level AI
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
Source:

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