How quickly can speech analytics provide insights?

The system can provide real-time insights or post-call analysis within minutes, depending on configuration.

Can speech analytics detect emotions and sentiment?

Yes. AI-powered speech analytics identifies emotions and sentiment using tone, pitch, and linguistic patterns to understand customer satisfaction or frustration.

How does AI speech analytics improve customer interactions?

By analyzing conversations in real time, it reveals customer sentiment, trends, common issues, and compliance gaps—helping businesses enhance service quality and agent performance.

What is AI-powered speech analytics software?

AI-powered speech analytics software uses Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) models to analyze conversations, extract intents, detect sentiment, and automatically evaluate agent performance.

What is the difference between speech analytics and AI-powered conversation intelligence?

Speech analytics focuses on transcription and phrase spotting, while AI-powered conversation intelligence provides deeper contextual understanding, emotion detection, and predictive insights.

Is the system compatible with Amazon Connect?

Yes. It supports Amazon Connect real-time streaming, post-call analytics, and full API-based integration.

Does it support Amazon Connect, Cisco, Webex, Genesys, and Avaya?

Yes. It is fully compatible with Amazon Connect, Cisco, Webex, Genesys, and Avaya through real-time streams, call recordings, and native/connector-based integrations.

AI powered Speech Analytics For Contact Centers

Q: Can it analyze calls in multiple languages?

Yes, the AI speech analytics solution supports multiple languages including Arabic, English, French, Spanish, and Urdu for accurate multilingual call analysis.

AI Powered Speech Analytics by Maaz Technologies is an enterprise grade speech intelligence solution built for high volume contact centers that need deeper visibility into customer conversations. Our platform analyzes 100% of recorded calls to deliver sentiment analysis, agent quality evaluation, quality assurance compliance, and behavioral insights helping organizations improve customer experience, reduce risk, and optimize agent performance.

Maaz AI seamlessly integrates with leading contact center platforms, including Cisco Contact Centers (UCCE, UCCX, Webex Contact Center), Amazon Connect, Genesys, and Avaya, supporting both on premise and SaaS deployments.

Our Partners

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. 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.

Features of Our Speech Analytics Software

Understand Customer Needs with AI Speech Analytics

Gain deep insights into customer interactions with AI-powered analytics.

Sentiment Analysis

Analyze customer emotions 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 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.
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.

Supported Contact Center Platforms & Integrations

Cisco (UCCE, UCCX, Webex)
Genesys
Avaya Contact Center
Amazon Connect

Supports batch processing workflows via APIs or direct integrations.

Why Choose Us?

Vendor neutral integration across all major contact center platforms
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.

Why Speech Analytics Is Critical for Contact Centers

"Voice data analysis reduces contact center costs by 20 30%, improves customer satisfaction scores by more than 10%, and drives stronger sales. According to McKinsey"

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!

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. we discuss about this in detail in our post :

AI Speech Analytics: Transforming Customer Interactions

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.

AI powered Speech Analytics For Contact Centers

Our Partners

Differences Between Speech analytics and AI powered conversation intelligence (Speech Analytics)

Features of Our Speech Analytics Software