Level AI

What is Level AI?

Level AI is an AI platform for customer experience, offering CX intelligence, quality assurance, and automation for contact centers. It uses secure generative AI to handle repetitive work, provides real-time insights, tracks performance, analyzes customer feedback, and delivers actionable business insights. Its goal is to help agents perform better, deepen customer understanding, and improve team productivity.

For call centers, Level AI uses natural language processing to help agents understand what customers are asking for, automates routine tasks, and provides analytics and reporting for managers. The platform aims to increase customer satisfaction, boost productivity, reduce operational costs, and improve team performance.

Who created Level AI?

Level AI was founded by Ashish Nagar. The company focuses on combining human expertise with machine intelligence to improve customer interactions in contact centers. Key team members include Hadley Harris, Tim Lee, and Neeraj Agarwal, who are also investors in the company.

What is Level AI used for?

• Improving sales performance
• Monitoring regulatory compliance
• Ensuring consistent quality for BPOs
• Improving patient experiences in healthcare
• Enhancing shopping experiences in retail
• Supporting insurance conversations
• Speeding up debt recovery in collections (reported as 2x faster)
• Giving contact center leaders insights into their operations
• Providing agents with real-time AI-powered insights

Industries served include financial services, healthcare, retail, insurance, collections, and BPO operations.

Who is Level AI for?

• Sales teams
• Customer service teams
• QA teams
• Contact center leaders
• Sales operations
• Quality directors
• Operations directors

Key features and results

Level AI provides contact center automation covering CX, intelligence, QA, and automation. Key features include:

• Real-time intelligence and proactive insights
• Automatic QA solutions
• Agent coaching plans
• Customer feedback analysis
• Business insights
• Shorter onboarding times and faster learning

Reported results from users include a 45% increase in agent satisfaction, 90% time savings on QA monitoring, and 100% better insight into business operations. Customer feedback also mentions doubled productivity, 50% improved call conversion rates, and actionable intelligence that leads to meaningful process changes.