AI performance enhancement for contact centers.

Details

Paid

January 8, 2024
Features
Multiple Integrations
AI-Powered Analytics
Best For
Quality Assurance Specialist
Customer Support Agent
Operations Analyst
Use Cases
Enhanced Customer Experience
Compliance Requirements

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What is Level AI?

Level AI is an AI-powered software solution designed specifically for contact centers in the BPO industry. Its main objective is to enhance agent and QA team performance, efficiency, and compliance. The tool incorporates artificial intelligence and machine learning into call center operations to improve quality assurance, agent monitoring, training, and analytics. By utilizing natural language understanding (NLU), Level AI can accurately identify customer intent and provide support agents with real-time information, enabling them to effectively communicate with customers. The software monitors and analyzes all support agent interactions, including voice calls, email, and chat, providing valuable insights and data for continuous improvement. Overall, Level AI helps contact center leaders optimize customer experience, meet compliance requirements, and empower their agents with autonomous learning and coaching capabilities.

Level AI Features

  • Real-Time Customer Question Answers

    Provides immediate responses to customer queries from various enterprise systems.

  • Multiple Integrations

    Seamlessly integrates with apps across the tech stack for enhanced functionality.

  • AI-Powered Analytics

    Utilizes AI to offer data-driven insights to contact center leaders for improving customer experience.

  • Autonomous Learning and Coaching

    Enables agents to learn and improve autonomously through AI-based coaching.

Level AI Use Cases

  • Agent Performance Improvement

    Level AI helps contact centers enhance agent performance by providing autonomous learning and coaching capabilities, enabling agents to continuously improve their skills and deliver efficient customer support.

  • Enhanced Customer Experience

    By leveraging AI-powered analytics and real-time answers, Level AI enables contact center leaders to make data-driven decisions and improve customer experience. Agents can quickly access relevant information, resulting in faster and more accurate responses to customer queries.

  • Compliance Requirements

    Level AI supports contact centers in meeting compliance requirements by monitoring and analyzing agent-customer interactions across multiple channels. This ensures that agents adhere to regulations and specific guidelines during customer interactions, reducing compliance risks.

Related Tasks

  • Real-Time Query Resolution

    Instantly provides accurate answers to customer questions from various systems.

  • Agent Performance Evaluation

    Analyzes agent-customer interactions to assess performance and identify areas for improvement.

  • Compliance Monitoring

    Monitors agent interactions to ensure adherence to compliance requirements and guidelines.

  • Customer Intent Recognition

    Utilizes natural language understanding to accurately decipher customer intent and provide appropriate support responses.

  • Training and Coaching

    Facilitates autonomous learning and coaching for agents to enhance their skills and performance.

  • Data-Driven Analytics

    Generates actionable insights through AI-powered analytics to improve contact center operations and customer experience.

  • Integration with Tech Stack

    Seamlessly integrates with various applications and systems across the tech stack to enhance functionality and efficiency.

  • Enhance Customer Experience

    Empowers agents with real-time information and tools to deliver superior customer support and satisfaction.

  • Contact Center Manager

    Utilizes Level AI to optimize agent performance, improve customer experience, and ensure compliance within the contact center environment.

  • Quality Assurance Specialist

    Relies on Level AI to monitor and analyze agent-customer interactions, identify areas for improvement, and maintain compliance standards.

  • Customer Support Agent

    Uses Level AI to access real-time answers, understand customer intent accurately, and provide efficient and effective support to customers.

  • Operations Analyst

    Leverages Level AI's AI-powered analytics to extract insights from contact center data, identify trends or patterns, and make data-driven decisions to enhance operational efficiency.

  • Training Manager

    Incorporates Level AI into training programs, utilizing its autonomous learning and coaching capabilities to facilitate agent skill development and continuous improvement.

  • Compliance Officer

    Relies on Level AI to monitor and ensure adherence to regulatory requirements and guidelines during agent-customer interactions.

  • Call Center Supervisor

    Utilizes Level AI to oversee agent activity, monitor customer interactions, identify opportunities for coaching or mentoring, and drive overall performance improvements.

  • Customer Experience Manager

    Leverages Level AI's analytics and real-time support capabilities to enhance the overall customer experience, identify pain points, and implement strategies for improvement.

Level AI FAQs

What is Level AI?

Level AI is an AI-powered software solution for contact centers that aims to improve agent and QA team performance, efficiency, and compliance in the BPO industry.

What are the key features of Level AI?

The key features of Level AI include real-time answers, multiple integrations with apps, AI-powered analytics, autonomous learning and coaching for agents, understanding customer intent, monitoring capabilities for each interaction, and advanced machine learning capabilities.

How does Level AI work?

Level AI incorporates AI and machine learning into a call center to improve quality assurance, agent monitoring and training, and analytics, using natural language understanding (NLU) to uncover customer intent and provide real-time support to agents.

What are the use cases for Level AI?

The use cases for Level AI include improving agent and QA team performance and efficiency, enhancing customer experience, and meeting compliance requirements.

What is NLU?

NLU stands for natural language understanding, which is a technology that allows computers to understand human language and respond appropriately.

What is the difference between NLU and NLP?

NLU focuses on understanding the meaning behind human language, while NLP focuses on the structure and grammar of language.

What is autonomous learning?

Autonomous learning is a process where an AI system learns and improves on its own, without human intervention.

What are some benefits of using Level AI?

Some benefits of using Level AI include improved agent and QA team performance, enhanced customer experience, and meeting compliance requirements.

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