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Differences Between Speech analytics and AI powered conversation intelligence (Speech Analytics)
Traditional speech analytics:
- Provides transcription + keyword/phrase spotting
- Limited contextual understanding
- Reactive insights
AI powered conversation intelligence adds:
- Intent recognition
- Sentiment trajectory mapping
- Behavior modeling
- Compliance risk scoring
- Agent performance evaluation
- Predictive insights
Maaz AI Speech Analytics includes both layers to provide granular and contextual interaction intelligence. Its uses advanced algorithms to analyze customer conversations in real time. It detects emotions, identifies trends, and provides actionable insights to improve communication and service quality. Enhance customer experiences by understanding their needs better and responding effectively.
Core Capabilities
Understand Customer Needs with AI-Powered Analytics
Gain deep insights into customer interactions with AI-powered analytics.
Sentiment Analysis
Analyze customer emotions in real-time to understand satisfaction levels and concerns. Use AI-driven insights to improve responses, enhance interactions, and build stronger relationships.
Keyword Spotting
Identify key phrases and trends in customer conversations to uncover insights and improve responses. Track important topics, detect issues early, and optimize interactions with data-driven decision-making.
Compliance Monitoring
Ensure every conversation meets industry regulations and company policies with real-time compliance monitoring. Detect violations, maintain quality standards, and reduce risks with automated tracking and alerts.
Agent Performance Tracking
Monitor agent interactions to evaluate performance and improve customer service. Get insights into response times, communication quality, and adherence to best practices for better efficiency and training.
Language Support
The system supports multiple languages including Arabic, English, French, Spanish, and Urdu, enabling a broad range of linguistic capabilities for diverse customer bases.
Enhance Customer Experience with Advanced Speech Analytics
- Gain deeper customer insights with AI powered conversational speech analytics.
- Identify trends, track sentiment, and understand conversations in real time.
- Optimize customer service and enhance satisfaction with data driven decisions.
For illustration purposes, a flow diagram showcasing the system’s functionality is provided in the right side.
Cross-Platform Compatibility Of AI Powered Speech Analytics
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Fully compatible with:
- Amazon Connect
- Cisco UCCE, UCCX, Webex
- Genesys
- Avaya Contact Center
Why Choose Us?
- Vendor neutral integration across all major contact center platforms
- Real-time and post call analytics in one system
- Scalable for multi site, global operations
- Transparent deployment without ecosystem lock in
- High density insights with minimal compute footprint
Engineered for IT leaders who require reliability, speed, interoperability, and precise insight generation.
Get Started with AI Speech Analytics Today
Unlock valuable insights from every customer interaction with AI-powered speech analytics. Improve service quality, enhance agent performance, and ensure compliance with advanced monitoring tools. Start transforming your customer experience today!
Get Started
Managed Service
24/7 support
Dedicated Customer
Success Manager
Training Portal
FAQs
Software that uses (Automatic Speech Recognition) ASR + NLP (Natural Language Processing) models to analyze conversations, extract intents, detect sentiment, and evaluate agent performance automatically.
Yes. Full compatibility via streams, recordings, and connectors.
Yes. It supports real time Amazon Connect streaming, post call analytics, and API integration.
Speech analytics = transcription + phrase spotting.
Conversation intelligence = deeper contextual understanding + predictive analysis.
Speech analytics can provide insights in real time or within minutes after a conversation ends. Advanced AI processes data instantly, identifying trends, sentiment, and key topics to help businesses make quick, informed decisions.
Yes, AI-powered speech analytics can detect emotions and sentiment by analyzing tone, pitch, and word choice in conversations. It identifies whether a customer is happy, frustrated, or dissatisfied, allowing businesses to respond appropriately and enhance the customer experience.
AI speech analytics enhances customer interactions by analyzing conversations in real-time, identifying key trends, and understanding customer sentiment. It helps businesses respond more effectively, personalize interactions, and improve overall service quality. By detecting pain points and opportunities, it enables continuous improvement in customer engagement.
To make requests for further information, contact us
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Contact Number
+1 (512) 325 7637
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Our Mail
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Our Location
5900 BALCONES DR STE 100 AUSTIN TX 78731-4298, UNITED STATES

