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Introduction:
Level AI: Level AI is a contact center intelligence platform that uses AI to uncover customer insights and drive business outcomes. It enables omnichannel optimization by analyzing customer experience, assisting agent performance, and automating contact center operations. Level AI's AI uses semantic intelligence to understand support interactions to improve contact center team performance.
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Level AI Product Information
What is Level AI?
Level AI is a contact center intelligence platform that leverages artificial intelligence to uncover customer insights and drive business results. It optimizes omnichannel experiences by analyzing customer interactions, supporting agent performance, and automating contact center workflows. By utilizing semantic intelligence, Level AI interprets support interactions to enhance the overall performance of contact center teams.
How to use Level AI?
Level AI integrates directly into your existing contact center infrastructure. It analyzes customer interactions across multiple channels to deliver actionable insights, automate routine tasks, and improve agent performance. You can request a demo to see the platform in action.
Level AI's Core Features
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100% Auto-QA
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Voice of the Customer Insights
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Personalized Agent Coaching
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Contact Center and Business Analytics
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Real-Time Agent Assist
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Agent Screen Recording
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Agent GPT
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iCSAT
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Generative AI Innovation
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Integrations
Level AI Use Cases
#1
Sales Performance Improvement
#2
Regulatory Compliance Monitoring
#3
BPO Quality Consistency
#4
Financial Services CX Innovation
#5
Healthcare Patient Experience
#6
Retail Shopping Experiences
#7
Insurance Customer Peace of Mind
#8
Collections Debt Recovery
FAQ from Level AI
What is customer intelligence? +
Customer intelligence (CI) is the process of gathering, analyzing, and interpreting customer data to understand their needs, preferences, and behaviors. These insights help improve business areas such as marketing, product development, and customer service.
How can customer intelligence benefit my business? +
It allows you to personalize customer experiences by tailoring interactions to individual needs, identify emerging market trends, inform product development to better resonate with your audience, and boost customer satisfaction by proactively addressing concerns.
What is conversational intelligence? +
Conversational intelligence is a subset of customer intelligence that specifically analyzes customer interactions across voice and text channels, including phone calls, live chats, emails, and social media messages.
What is service automation? +
Service automation uses technology to automate manual tasks typically handled by customer service agents. This includes providing real-time AI assistance, managing post-call dispositions, scoring agent performance, and automatically identifying unknown customer pain points.
What is Level AI? +
Level AI provides a suite of advanced artificial intelligence solutions using generative AI and semantic intelligence. These tools are designed to improve customer experience, increase operational efficiency, and transform contact center teams into drivers of business growth and competitive advantage.
Level AI Pricing
Related Model Comparison Pages
Use these comparison pages to understand the trade-offs between the models most relevant to Level AI.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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