AI-Powered QMS to Improve Call Quality, Compliance and Conversions

Conversations with customers generate signals such as intent, doubt, trust, and chance for business conversion. Conventional quality control procedures focus on only a portion of these signs and most quality control methods employed in call centres do not analyze communication which are greatly affected by all four signals. Leveraging artificial intelligence AI-Driven quality management system (QMS) e automates agent – customer interaction evaluation across all communication channels viz: voice, chat, and email to provide uniform performance benchmarking, compliance adherence and customer satisfaction analysis at scale. This enables contact center managers to identify, in real time, the conversations and agents which had the maximum conversions and they can then coach agents about the best practices to build genuine relationships with customers will and therefore create repeatable business value.

Supplementing this, the manual audit option facilitates the supervisors to review specific interactions, warranting meaningful analysis — blending AI efficiency with human assessment for effective and streamlined quality control.

Transform Quality Assurance with AI powered QA – Optimize performance monitoring and boost productivity

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How Does It Work?

AI and NLP come together to offer always-on, automated quality assurance at scale.
The AI QMS software seamlessly integrates with our contact center software ID cloud. It can also integrate with any other dialer and the existing infrastructure in your call center.

Data Capture

Every customer interactions is captured to evaluate agent performance, check regulatory compliance and analyse it for positive customer experiences.

Speech Recognition & Text Analysis

Advanced speech recognition engine transcribes conversation and analysis is done via with natural language processing (NLP) techniques to detect sentiment, extract keywords, identify customer intent, and generate actionable insights.

Scoring Mechanism

AI-driven scoring uses predefined quality control and assurance rules to evaluate each interaction, automatically flagging compliance or performance issues and providing recommendations to improve agent effectiveness and boost conversions.

QA Insights & Coaching

With detailed performance metrics analysis, team leads and surpervisers can check flagged interactions, spot agent behavior trends, and use AI-generated recommendations to understand specific coaching needs and ensure compliance to streamline the quality assurance process.

Insightful Dashboards for Every Role

Quality & Compliance Audit Dashboard

Maintain consistency and compliance across every process

Track:
Compliance adherence
Process, communication, and empathy errors
Red flag detection (keywords, sentiment drops)
Custom rule violations (e.g., “Did not verify ID”)
AI vs. Human QA comparison

Channel-Wise Quality Dashboard

Compare Voice, Email, and Chat quality across teams and regions

For each channel:
Volume handled
Avg. handling time / first response time
Sentiment & emotion trends
Communication tone analysis
AI-suggested improvements
Agent adherence to templates / greetings / closing
Keyword clouds (for recurring customer issues)

AI Model Analytics & Operations Dashboard

Measure AI accuracy and system performance

Metrics:
AI detection precision
False positive/negative rates
Model drift detection
Number of conversations processed
API success/failure logs
Integration status (CRM, dialer, email server)
Processing time & data ingestion latency

Team & Individual Performance Dashboard

Turn top-closer behaviors into a playbook every agent can follow

Key Metrics:
GenAI-generated Quality Scores
Sentiment shift (start → end of interaction)
Auto-generated coaching recommendations
Strengths and improvement areas
Peer comparison & leaderboards
Interaction playback with AI summaries

Executive / CXO Overview Dashboard

A 360° view of performance, compliance, and experience trends

Key Metrics:
CSAT / NPS trends
Sentiment heatmaps
AI-detected compliance risks
Top emerging issues
AI accuracy vs. manual audit
Corrective action tracking

Customer Experience Insights Dashboard

Decode customer emotions and recurring themes

Insights:
AI-extracted topics
Sentiment by theme
Escalation triggers
Emotion timelines
Voice-of-Customer clusters

Insightful Dashboards for Every Role

Quality & Compliance Audit Dashboard

Maintain consistency and compliance across every process

Track:
Compliance adherence
Process, communication, and empathy errors
Red flag detection (keywords, sentiment drops)
Custom rule violations (e.g., “Did not verify ID”)
AI vs. Human QA comparison

Channel-Wise Quality Dashboard

Compare Voice, Email, and Chat quality across teams and regions

For each channel:
Volume handled
Avg. handling time / first response time
Sentiment & emotion trends
Communication tone analysis
AI-suggested improvements
Agent adherence to templates / greetings / closing
Keyword clouds (for recurring customer issues)

Team & Individual Performance Dashboard

Turn top-closer behaviors into a playbook every agent can follow

Key Metrics:
GenAI-generated Quality Scores
Sentiment shift (start → end of interaction)
Auto-generated coaching recommendations
Strengths and improvement areas
Peer comparison & leaderboards
Interaction playback with AI summaries

Customer Experience Insights Dashboard

Decode customer emotions and recurring themes

Insights:
AI-extracted topics
Sentiment by theme
Escalation triggers
Emotion timelines
Voice-of-Customer clusters

AI Model Analytics & Operations Dashboard

Measure AI accuracy and system performance

Metrics:
AI detection precision
False positive/negative rates
Model drift detection
Number of conversations processed
API success/failure logs
Integration status (CRM, dialer, email server)
Processing time & data ingestion latency

Executive / CXO Overview Dashboard

A 360° view of performance, compliance, and experience trends

Key Metrics:
CSAT / NPS trends
Sentiment heatmaps
AI-detected compliance risks
Top emerging issues
AI accuracy vs. manual audit
Corrective action tracking

Elevate Quality, Everywhere

With our AI-Powered QMS, organizations can:

Increase conversions and drive measurable revenue growth using conversation intelligence

Audit faster and more accurately with AI-driven quality validation

Strengthen compliance while improving customer experiences

Enable effective conversations and faster agent ramp-up through AI coaching

Transform traditional QA into continuous, insight-led improvement

Deliver consistent, high performance across teams

Key Features and Capabilities of AI-Driven Quality Management System

  • Multiple Data Upload Options: Flexible data upload options available. Upload interaction data easily via SFTP, cloud storage (e.g. Google Drive or AWS), secure APIs, or manually upload files.
  • AI-Powered Processing: All conversations are automatically transcribed by AI, it understands context and intent and extracts intelligent insights from voice, chat, email, and other digital channels.
    globally.
  • Smart Audit & Review: The audit forms and scoring models can be customized as per the organization or process needs for consistent evaluation of interactions and to simplify reviews. This CQA method reduces manual effort of audit teams and they can focus on quality improvement.
  • Sentiment & Emotion Detection:The ability to identify whether there is stress, anger, politeness, or satisfaction during an interaction helps businesses to gain insights into their customers' emotions. This AI-driven sentiment analysis lets the organization know about gaps in experiences across all channels and how it impacts the business outcomes.
  • Comprehensive Metadata Tracking: Collect rich metadata from every transaction, including timestamps, agent name, call ID, interaction history, and audit trail for complete traceability, compliance, and operational transparency across the enterprise.
  • Reports & Insights: Quality metrics are converted into visual representations via interactive dashboards. Organizations gain insight into trends, risks, and opportunities for continued performance improvement, enabling the contact center mangers to make timely decisions and redefine strategies for performance optimization.

Use Cases

Designed for Modern High-Volume Contact Centers - Across All Industries

Banking & Financial Services (BFSI)

Ensures compliance with regulatory requirements; allows early identification of customer distress signals; and improves collections and debt recovery success rates by enhancing communication strategies.

Insurance & Healthcare

Allows monitoring of policy communications and disclosure accuracy for compliance with industry-regulated standards and protecting privacy as well as complying with laws and regulations.

Utilities

Allows monitoring of all conversation between agents and customers, examining behaviour trend patterns to gauge effectiveness of resolution processes, and enabling early detection of potential disputes to facilitate prompt resolutions resulting in increased levels of customer satisfaction at all stages of interaction.

Retail & E-Commerce

Provides consistency to business operations through a standardized approach to agent
responses and processing customers through the same level of service, order tracking, and return handling calls. Provides consistent, reliable, timely, and accurate support and a faster time-to-resolution providing an overall hassle-free customer experience.

Business Process Outsourcing (BPO)

Provides automation in streamlining the quality-monitoring process by automating call evaluations, developing customised scoring for each BPO client, and identifying agent performance issues quickly resulting in increased regulatory compliance, efficiency, customer satisfaction leading to more conversions.

Provide instant responses to customers without human intervention with chat bots. Call now to learn more!

Benefits of using AI-driven Quality Assurance Software

Our dedicated team provides an elevated level of service that meets all agency compliance requirements, increases agent productivity automatically.

Automate Audits at Scale

The application of AI to do conversation quality analysis of 100% of customer conversations ensures the automatic evaluation of all interactions eliminating sampling bias and offering complete transparency into the quality of performance across all channels and touch points.

Drive Actionable Insights

AI-powered quality management system transforms raw conversation data into prioritized recommendations, enabling faster optimization of team performance and strategic decision-making supported by real-time analytics and trends.

Ensure Compliance

Through smart detection and alerts, policy violations, regulatory risks and procedural gaps can be identified early, reducing the risk of legal exposure and ensuring continuous adherence to approved standards.

Empower Teams

By identifying agent behaviours that have the strongest impact and most conversions, teams can be effectively coached and recognised for positive behaviours. This means that agents and managers can replicate winning practices and maintain a high level of consistency in delivering elevated customer experiences.

Integrate Seamlessly

Quality management system’s interoperability with the company's existing CRM, ERP, telephony and other applications enables seamless flow of data into entrerprise existing workflow and systems.

Boost Customer Satisfaction

By understanding customer sentiment and friction points, companies can address these quickly and improve customer loyalty, build stronger relationships and deliver superior customer experiences.

Accelerate Performance Improvement

AI generated insights and benchmark data enables shortening of coaching cycles, improve workflows leading to increase in productivity and performance improvements across all departments and channels.

With AI-powered Quality Assurance , contact centers evolve from reactive management to proactive excellence.

Teckinfo’s AI-powered QMS is more than just a monitoring tool—it’s a powerful strategic asset for business organizations, contact centers and BPOs. It not only reduces manual effort but also eliminates delays typical of traditional QA methods by automating the entire process. With real-time insights into agent performance, managers and supervisors are able to quickly identify and address issues and also spot the winning behaviours. The solution is highly scalable and also supports multiple teams and clients while ensuring compliance with industry regulations. Built for enterprises across industries, this QA platforms helps teams resolve queries faster, engage with customers more effectively and convert more, whether they’re closing a sale, retaining customers or improving debt recovery outcomes.

What Our Customers Say

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    See Frequently Asked Questions

    What is an AI-powered QMS?

    An AI-driven quality management system (QMS) analyses 100% of conversations across all interactions channels e.g. voice, chat or email using AI-powered processing to give insightful information about caller sentiment, compliance adherence and agent performance without manual effort enabling organization to improve customer satisfaction and boost growth with positive business outcomes.

    Yes! One of the great features of our QMS platform is that is dialer agnostic, can integrate with other dialer, CRM’s such as Zoho, Salesforce, and helpdesk solutions.

    The conversation quality analysis done via AI is able to winning conversation patterns, sentiment signals and intent cues. With this knowledge, the organizations are able to repeat top-performance behaviors and boost customer satisfactions to have better conversions across all sales, support or debt recovery interactions.

    Yes, absolutely, all conversions can be reviewed via AI, but the manual audit option is also there enabling managers to review specific conversations.