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What is MOJO-CX?

To maintain compliance and sidestep potential issues, it's essential to implement adaptable voice analysis triggers that establish strong safeguards. Given that more than 53% of consumers in the UK show some level of vulnerability, we have optimized the method of recognizing these individuals and linking them to the appropriate personnel within your organization. It's important to note that during the latter part of 2021, an alarming 91% of customers reported a decrease in their overall experience with contact centers. By focusing on elements that rapidly boost performance, you can better prepare agents with the right responses to facilitate more positive interactions with customers. Create customized guidelines that ensure immediate alerts to the relevant team members during crucial situations, leveraging all available platform data, including your own contributions. Furthermore, keep a thorough record of conversation effectiveness through key performance indicators that matter to your business, providing critical insights into agent performance after every engagement. This not only allows for ongoing improvement but also cultivates stronger customer relationships over time, ultimately leading to enhanced satisfaction and loyalty. By prioritizing these strategies, you can significantly elevate the overall customer experience.

What is Level AI?

Level AI is the leading AI-powered platform for customer experience operations, helping enterprises understand customer conversations, automate quality monitoring, and improve contact center performance across voice and chat. Designed for modern support organizations, the platform unifies conversation intelligence, automated QA, real-time agent guidance, and AI virtual agents within a single system trained on real customer interactions. Level AI analyzes every customer interaction to surface customer issues, detect operational trends, and reveal opportunities to improve service quality and efficiency. CX leaders gain visibility into what customers are experiencing and how agents perform across the entire support operation. With integrations across leading contact center platforms, Level AI enables organizations to scale customer support, increase automation, and turn everyday conversations into strategic customer insights.

Media

Media

Integrations Supported

Outdoo AI

Integrations Supported

Assembled
Five9
Freshchat
Genesys Cloud CX
Google Drive
HubSpot CRM
NetSuite
Operata
Salesforce
Seismic Learning
Twilio
Twilio Voice
Verint Workforce Management
Zendesk

API Availability

API Availability

Has API

Pricing Information

$7,171.51 per month

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

MOJO-CX

Date Founded

2018

Company Location

United Kingdom

Company Website

www.tmac.ai/modules/speech-and-conversation-analytics

Company Facts

Organization Name

Level AI

Date Founded

2020

Company Location

United States

Company Website

thelevel.ai/

Categories and Features

Categories and Features

AI Call Center

Not specified

Call Center

Call Recording
Escalation Management
IVR / Voice Recognition
Inbound Call Center
Queue Management
Real-time Chat
Reporting/Analytics

Conversation Intelligence

AI Insights
Call Analytics
Call Recording
Call Recording Cloud Storage
Call Transcription
Sales Coaching
Topic Tags
Topic-Based Analytics
Video Conferencing Analytics
Win/Loss Analysis

Speech Analytics

Automatic Transcription
Call Center Management
Call Recording
Customer Experience Management
Data Security
Natural Language Processing
Predictive Analytics
Self-Service Search
Sentiment Analysis
Surveys & Feedback

Workforce Optimization (WFO)

Interaction Analytics
Performance Management
Quality Management
Real-time Guidance
Reporting
Speech Analytics
Surveying

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