Level AI

Level AI is a customer experience platform for contact centers that scores interactions, supports AI virtual agents, and turns conversations into insights.

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AI platform for contact center operations

Level AI is a customer experience platform for contact centers that combines AI software with human review and coaching workflows. The site describes it as a system that scores interactions, deploys voice agents, and turns customer conversations into operational insights.

Across the product pages, Level AI is presented as a unified platform for quality management, virtual agents, analytics, voice of the customer, assist, and screen recording. The core idea is to connect interaction data from channels such as voice, chat, email, bots, surveys, support tickets, CRM data, and screen recordings so teams can improve service, resolution, and performance from the same intelligence layer.

Core capabilities

Interaction analysis and scoring

Analyzes and scores customer interactions across channels so teams can review more than sampled conversations and base coaching or QA decisions on broader coverage.

Shared quality management

Combines human and AI agents in one operating model, letting teams score, coach, and calibrate work against shared rubrics and benchmarks.

AI virtual agents for voice and chat

Provides AI virtual agents that handle voice and chat support, with the product page emphasizing natural conversation, context awareness, and support for business rules.

Voice of the customer insights

Uses a voice of the customer layer to surface insights from interactions and convert customer signals into actions for quality, resolution, and improvement workflows.

Assist and analytics tools

Offers assist and analytics capabilities for real-time help, team performance views, and operational visibility across contact center work.

Screen recording for review

Includes screen recording as part of the platform so managers can monitor agent activity and connect conversation quality with what happened on screen.

Typical use cases

Quality assurance at scale
Use the platform to score large volumes of customer interactions and build a more complete QA process than sample-based review allows. The site emphasizes full coverage and shared standards for human and AI review.
Automated voice and chat support
Deploy virtual agents to handle voice and chat conversations that need more than scripted automation. The product page focuses on context-aware support, business rules, and real-world task execution.
Agent coaching and performance management
Turn conversation data into coaching and performance workflows for agents and managers. The site shows QA dashboards, coaching plans, and review tools that help teams identify gaps and target improvements.
Voice of the customer analysis
Use customer interactions, support tickets, surveys, and CRM data as a single intelligence layer for identifying customer issues and operational trends. This supports voice-of-the-customer and broader CX analysis work.
Supervision and screen-based review
Monitor how agents interact with customers, including what happens on screen during a conversation, to connect quality findings with real workflow behavior and process adherence.

Pros and Cons

Pros

Covers multiple CX workflows in one platform, including QA, virtual agents, insights, assist, analytics, and screen recording.
Supports analysis of 100% of interactions according to the site’s messaging, rather than relying only on sampled reviews.
Presents shared rubrics and benchmarks for human and AI work, which can help align coaching and evaluation.
The virtual agent product emphasizes natural conversation handling, business rules, and support for voice and chat.
The site surfaces concrete operational inputs such as support tickets, CRM data, surveys, and screen recordings, which can help connect quality work to broader customer operations.

Cons

Pricing details are not published in the supplied sources, and the pricing URL returns a 404.
Supported third-party integrations are not identified in the provided material.
Several capability claims are broad platform statements, so buyers would still need a demo to confirm fit for their specific stack and workflows.

FAQ

Who is Level AI for?

Level AI is positioned for contact center and CX teams that need to analyze interactions, automate support work, and monitor quality across channels. The source material shows use across voice, chat, email, bots, and support operations.

What does the platform do?

The source shows Level AI working across customer interactions, quality management, AI virtual agents, voice of the customer, assist, analytics, and screen recording. It is presented as a single platform for customer operations rather than a point solution.

Is pricing available on the site?

The site does not publish pricing details on the provided pricing URL. The pricing page returns a 404, so pricing, plans, and package limits are not visible in the supplied sources.

What data sources does it use?

The source highlights customer interactions, support tickets, CRM data, surveys, screen recordings, and voice agent interactions as inputs to its intelligence layer. Specific third-party integrations are not listed in the provided material.

Quick Facts

Category: AI customer experience platform
Primary users: Contact center, QA, and CX teams
Main products shown: Quality management, AI virtual agents, voice of the customer, assist, analytics, screen recording
Source domain: thelevel.ai
Pricing page: 404 / not available in the supplied sources
Channel coverage: Voice, chat, email, bots, surveys, support tickets, CRM data, and screen recordings