Level AI
Level AI is an artificial intelligence platform designed to enhance contact center operations. It provides real-time agent assistance, automated QA, and conversation intelligence tools to help customer support teams improve performance, compliance, and customer experience.
Where Level AI ranks
Current edition · updated Oct 20, 2026About Level AI
Level AI is an artificial intelligence platform designed to enhance contact center operations. It provides real-time agent assistance, automated QA, and conversation intelligence tools to help customer support teams improve performance, compliance, and customer experience.
Products
Real-time guidance for live agents.
Conversational AI handling end-to-end tasks.
A generative AI platform trained on organizational data to deliver real-time answers and reduce average handle time.
Captures screen content and audio to identify effort and friction in real time.
Targeted, evidence-backed development for agents.
Automated quality assurance that scores 100% of interactions against QA and compliance rubrics without sampling.
Quantifies customer sentiment and classifies contacts into a hierarchy.
AI-powered analytics that extract omnichannel insights from unstructured voice, chat, and email data.
Analyzes 100% of interactions to infer customer satisfaction scores without surveys using generative AI.
Autonomous agents acting across workflows for tasks such as coaching plan generation and research.
A voice AI platform unifying high-accuracy speech recognition, expressive neural text-to-speech, and real-time voice agent capabilities.
The core Level AI platform offering a full suite of AI-native applications for customer experience including QA, coaching, and analytics.
What customers say
“I get a lot of questions cross-functionally. So, if someone on our food science team says, 'Hey, have we been hearing XYZ?' So I use workers to simply go in and ask, 'Hey, have we been hearing customers say XYZ?' And then trying to write the prompt in a way that it's gonna be most successful and then just feeling really confident with that.”
“We’ve been using Gladly to identify key topics and then integrating those insights with our internal data. However, when it comes to highlighting trends and patterns, this process is still extremely manual for my team and me.”
“I love how it provides specific examples of the trend that it’s calling out—sometimes that’s incredibly helpful to say, ‘Here’s what customers are saying, and here’s an example call to listen to.’ That’s been really impactful for us.”
- Auto-QA
ezCater uses Agent Assist for real-time knowledge guidance and Auto-QA for customer-experience-focused evaluations. Level AI reports a 13% reduction in overall call handling time and a 23% reduction in hold time during…
Case study - AI Workers
Smartsheet uses AutoQA, Voice of the Customer dashboards and AI Workers to target coaching and diagnose customer issues. Level AI reports a 12% iCSAT increase and a 60% efficiency improvement; the body records internal…
Case study - Auto-QA
Purple Innovation uses Level AI for conversation analysis, AutoQA rubric refinement and Search Worker product feedback. Level AI reports 100% QA coverage of voice conversations over two minutes and analysis completed in…
Case study
Security and compliance
As reported by Level AI. Ask for audit reports before you buy.
- SOC 2Compliant
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