AI powered Speech Analytics For Contact Centers

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, without requiring manual call sampling or QA reviewer time.

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)

Speech analytics vs. conversation intelligence: Traditional call center speech analytics mainly spots keywords in call recordings. AI-powered conversation intelligence goes further. It reads context, tracks sentiment over time, models behavior across calls, and gives coaching tips. Maaz AI includes both layers: keyword detection plus full context analysis.

Traditional speech analytics:

Transcription and keyword or phrase spotting
Limited context
Reactive insights

AI powered conversation intelligence adds:

Intent recognition
Sentiment tracking
Behavior modeling
Compliance risk scoring
Agent performance review
Predictive insights

MaazAI Speech Analytics gives both layers for clear, useful interaction insight. It uses AI to analyze customer calls. It finds emotion, spots trends, and gives action items that improve communication and service quality. This helps teams understand customer needs and respond well.

Features of Our Speech Analytics Software

How speech analytics works in a contact center: AI speech analytics records 100% of calls. It turns audio into text with Automatic Speech Recognition (ASR). Then Natural Language Processing (NLP) reviews the transcript for sentiment, intent, compliance issues, and agent performance. It works at scale with no manual QA review. Results are ready within minutes after each call ends. This is real-time speech analytics for contact centers.

Understand Customer Needs with AI Speech Analytics

Gain deep insight into customer interactions with AI-driven analytics.

Sentiment Analysis

Analyze customer emotion to see satisfaction levels and pain points. Use AI insights to improve replies, strengthen support, and build better relationships.

Keyword Spotting

Find key phrases and trends in customer calls. Spot issues early and improve responses with data-driven decisions.

Compliance Monitoring

Make sure each conversation follows industry rules and company policy. Catch violations, keep quality high, and lower risk with automated tracking and alerts.

Agent Performance Tracking

Review agent interactions to measure performance and improve service. See response time, communication quality, and adherence to best practices for training and efficiency. This also supports agent performance analytics.

Language Support

The system supports Arabic, English, French, Spanish, and Urdu. That helps teams serve many customer groups.

Enhance Customer Experience with Advanced Speech Analytics

Gain deeper customer insight with AI-powered conversational speech analytics.
Track trends, follow sentiment, and understand conversations.
Use data-driven decisions to improve service and satisfaction.

For illustration, the diagrams below show the workflow and dashboard.

Supported Contact Center Platforms & Integrations

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

It also supports batch workflows through APIs or direct integrations.

How Maaz AI Speech Analytics integrates with Cisco UCCE: Maaz AI connects to Cisco UCCE via Cisco recording APIs and the CTI event stream. Call audio is captured in real time when calls reach agent stations. Agent metadata such as ANI, DNIS, agent ID, and queue name is pulled from the CTI event and attached to each call record. No Cisco platform changes are needed.

Why Choose Us?

Vendor neutral integration across major contact center platforms
Call analytics in one system
Scalable for multi site, global operations
Transparent deployment without lock in
High-density insights with a small compute footprint

Built for IT leaders who need reliability, speed, compatibility, and precise insight .

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 useful insights from every customer interaction with AI-powered speech analytics. Improve service quality, boost agent performance, and keep compliance strong with advanced monitoring tools. Start improving the customer experience today.

FAQs

No changes to Cisco platform configuration are needed. Maaz AI connects through Cisco recording APIs and the CTI event stream, captures call audio as calls arrive at agent stations, and automatically attaches ANI, DNIS, agent ID, and queue name to each call record.

Contact centers can use AI speech analytics to improve customer satisfaction, strengthen compliance monitoring, review agent performance, find issues earlier, and make data-driven service decisions. The article also notes that voice data analysis can reduce contact center costs by 20-30% and improve customer satisfaction scores by more than 10%.

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