Why choose Level AI over Medallia?
Medallia helped brands listen to customers through surveys and feedback loops — but listening alone isn’t enough anymore. Modern enterprises need real-time CX intelligence that doesn’t just measure experience but actively improves it. By connecting automation, quality, and customer insight in one platform, that’s exactly what Level AI delivers.
Why Levelai
Beyond traditional AI: how Level AI outperforms Medallia
Unified, real-time CX intelligence platform vs survey-led feedback suite
iCSAT across 100% of interactions vs limited, sample-based satisfaction data
Explainable AI and actionable insights vs static dashboards and delayed analysis
Unified CX intelligence and automation, not survey-centric feedback
Level AI captures, analyzes, and interprets 100 % of real customer interactions (voice, chat, email) in real time.
Medallia depends on post-interaction surveys and form-based feedback, offering partial CX visibility and slower insight loops.
Explainable QA that builds confidence
Unlike legacy bots that output scores, Level AI’s QA-GPT explains every evaluation with timestamps, reasoning, and evidence. Teams gain context, accuracy, and trust at scale.
Real-time iCSAT and CX visibility
Level AI infers satisfaction across 100% of conversations — no survey gaps, no guesswork, real-time sentiment.
Real-time intelligence vs after-the-fact reporting
Level AI provides actionable insights during live conversations through Agent Assist and iCSAT inferred across 100 % of interactions.
Comparison
Level AI vs. Medallia: a closer look
Feature | LevelAI | Medallia |
|---|---|---|
Platform scope | ✓ - Unified CX stack covering QA, VoC, Coaching, Analytics, Agent Assist, Virtual Agent | X - Experience management platform: feedback, journey analytics, predictive insight |
Quality / auto-QA | ✓ - Generative QA-GPT automates evaluation with reasoning, timestamps, and evidence | X - QA is driven by feedback tagging, survey correlation, and analytics insights |
Voice of the Customer (VoC) | ✓ - Supervised + unsupervised models surface emerging themes, issues, sentiment trends | X - Strong text & speech analytics, theme detection, alerting on feedback signals |
Analytics & insights | ✓ - Live dashboards linking QA, VoC, coaching, performance metrics | X - Robust feedback dashboards, generative insight, alerting, role-tailored analytics |
Screen recording | ✓ - Automated real-time redaction using computer vision | X - Rule based, non-dynamic PCI/PII redaction |
AI agent | ✓ - Native Voice + Chat AI built on genAI stack; fully integrated with QA & VoC | X - Has AI agents but are disconnected from QA & VoC |
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