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What Is Automated Quality Management?

Automated Quality Management (AQM) refers to the use of artificial intelligence, machine learning, and natural language processing (NLP) to monitor, evaluate, and improve agent-customer interactions in real time.

Key Components:

  • 100% Call and Chat Transcription
  • Automated Agent Scoring Across All Interactions
  • Real-Time Compliance Monitoring
  • Agent Assist for In-Call Guidance
  • Supervisor Assist for Real-Time Coaching
  • Knowledge Base Integration for Accuracy and Speed

Why Manual QA Is No Longer Enough?

Traditional QA methods are:

  • Subjective: Scoring may vary between evaluators.
  • Slow: Feedback often comes too late to improve live interactions.
  • Limited: Only a small percentage of calls are reviewed.
  • Inconsistent: Standards vary by supervisor or department.

AQM ensures:

  • Every conversation is evaluated
  • Compliance breaches are flagged in real time
  • Coaching is timely and personalized
  • Insights are based on comprehensive data

Key Benefits of Automated Quality Management

  1. 100% Call Monitoring and Transcription
  • AI transcribes and analyzes every voice and chat interaction.
  • Sentiment analysis and keyword spotting flag risky or non-compliant behavior.
  1. 100% Agent Scoring
  • Uniform and fair evaluation across all agents.
  • Identifies top performers and those needing training.
  1. Agent Assist in Real-Time
  • Prompts agents with correct responses from the knowledge base.
  • Reduces hold time and improves first contact resolution (FCR).
  1. Supervisor Assist with Live Dashboards
  • Instant alerts for supervisor intervention.
  • Real-time dashboards show performance trends, risk areas, and coaching opportunities.
  1. Compliance Automation
  • Detects script adherence, disclaimers, and policy violations.
  • Ensures organizations meet regulatory standards like PCI-DSS, GDPR, HIPAA, or RBI.
  1. Real-Time Knowledge Management Integration
  • Agents are provided with the latest, most accurate information during calls.
  • Increases accuracy and reduces misinformation.

Use Cases by Industry

BFSI:

  • Ensure RBI/SEBI/MAS guidelines are followed on every call.
  • Automate verification steps, consent capture, and disclaimer delivery.

Healthcare:

  • Comply with HIPAA guidelines in patient calls.
  • Provide real-time guidance for sensitive case handling.

Retail & E-commerce:

  • Maintain brand tone, upselling consistency, and refund policy adherence.
  • Highlight customer sentiment for loyalty follow-ups.

Outsourcing / BPOs:

  • Offer differentiated quality guarantees to clients.
  • Scale QA operations without scaling headcount.

Conclusion & Call to Action

Conclusion

AI-driven quality management is revolutionizing contact centers by delivering precision, consistency, and speed. With 100% coverage of interactions, real-time insights, and seamless integration with knowledge systems, Automated Quality Management is no longer a nice-to-have—it’s a strategic imperative.

Ready to modernize your QA? Let’s talk.

  • Book a demo of our AQM platform
  • Request a compliance audit for your contact center
  • Discover how AI can make every agent your best agent

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