What Is Automated Quality Management?

Automated Quality Management


As technology advances and the world moves into automation, maintaining high-quality customer interactions is still required. The ability to consistently deliver top-notch service not only enhances customer satisfaction but also plays a pivotal role in an organization’s success. Automated Quality Management (AQM) is a concept that has been gaining significant attention in the contact center industry.

Understanding Automated Quality Management (AQM)

Before delving into the potential of technology in automation, let’s first grasp the fundamentals of Automated Quality Management (AQM).

Automated Quality Management (AQM) is a comprehensive approach to managing and enhancing the quality of interactions in contact centers. It involves automating various processes that traditionally require manual intervention, such as quality monitoring, evaluation, and feedback. The primary objective of AQM is to ensure consistent, high-quality customer interactions while optimizing operational efficiency.

The Significance of AQM in Contact Centers

In contact centers, the quality of customer interactions is often considered the lifeblood of the operation. The following are some of the key reasons why AQM is of paramount importance:

  • Consistency in Service Delivery: Inconsistent service can lead to frustrated customers and a tarnished brand reputation. Automated Quality Management (AQM) helps maintain a uniform standard of service across all customer interactions.
  • Compliance and Risk Mitigation: Contact centers often deal with sensitive customer information and must adhere to strict regulatory requirements. AQM helps ensure that agents comply with these regulations, reducing the risk of fines and legal issues.
  • Agent Performance Improvement: Automated Quality Management (AQM) provides a systematic way to evaluate agent performance. It identifies areas for improvement and offers targeted coaching and training.
  • Data-Driven Decision-Making: By automating quality management processes, contact centers can collect and analyze large volumes of data. This data can be used to make informed decisions and drive operational improvements.
  • Efficiency and Cost Reduction: Automated Quality Management (AQM) streamlines quality evaluation processes, reducing the time and effort required for manual evaluations. This, in turn, leads to cost savings and improved resource allocation.
  • Enhanced Customer Satisfaction: When agents consistently deliver high-quality service, customer satisfaction naturally improves. Satisfied customers are more likely to become loyal customers and advocates for your brand.

Speech Analytics and Conversational Intelligence in AQM

Now that we understand the importance of AQM in contact centers, let’s explore how speech analytics and conversational intelligence can revolutionize the way quality management is conducted.

Real-Time Analysis with Speech Analytics

Speech analytics is a technology that automatically transcribes and analyzes spoken conversations between customers and agents. By leveraging AI and natural language processing, speech analytics provides real-time insights into the content and sentiment of these interactions.

One of the most significant advantages of speech analytics is its ability to monitor and assess interactions as they happen. This real-time analysis allows supervisors and quality managers to intervene immediately if an issue is detected during a call. Whether it’s a compliance violation, a customer expressing frustration, or an agent struggling with a query, speech analytics can flag these issues in real time, enabling prompt resolution.

To learn more about real-time analysis with Speech analytics, read Enhance Customer Experience With Real-time Speech Analytics.

Automated Quality Scoring

Traditionally, quality evaluations in contact centers involve manual scoring by quality assurance teams. This process is time-consuming and often prone to subjectivity. With the help of speech analytics, automated quality scoring becomes a reality.

Speech analytics systems can be configured to score interactions based on predefined criteria and key performance indicators (KPIs). For example, an interaction can be scored on factors like agent script adherence, tone of voice, resolution time, and customer satisfaction. This automated scoring not only saves time but also ensures consistency in evaluations.

Performance Feedback and Coaching

Once interactions are scored, conversational intelligence comes into play. Conversational intelligence refers to the insights and actionable feedback extracted from conversations. These insights are invaluable for coaching and improving agent performance.

By analyzing the content of interactions, conversational intelligence tools can identify specific areas where agents excel and where they need improvement. Supervisors and quality managers can then use these insights to provide targeted coaching and training to individual agents. This personalized approach to coaching is far more effective than generic, one-size-fits-all training programs.

Compliance Monitoring

Ensuring compliance with regulatory requirements is a critical aspect of contact center operations, particularly in industries like finance and healthcare. Speech analytics can automatically detect compliance violations during interactions, such as the mishandling of customer data or the failure to provide legally required disclosures.

When a compliance violation is identified, the system can generate alerts for immediate action. This not only helps in mitigating risks but also ensures that agents are consistently adhering to the required standards.

Customer Sentiment Analysis

Understanding customer sentiment is vital for enhancing the quality of interactions. Speech analytics can provide sentiment analysis by evaluating the tone and language used by customers and agents. This analysis helps in identifying patterns related to customer satisfaction or dissatisfaction.

By recognizing the emotional cues in conversations, contact centers can proactively address customer concerns, resolve issues, and improve overall customer experience. Furthermore, identifying positive sentiment can highlight areas where agents excel, serving as a valuable training resource.

You can read more about Sentiment analysis in our blog: Sentiment Analysis in NLP

What are the Possible Hinderances?

While speech analytics and conversational intelligence have the potential to revolutionize AQM in contact centers, there are some challenges and considerations to keep in mind:

  • Data Privacy: The handling of sensitive customer data and recordings must comply with data privacy regulations, such as GDPR and HIPAA. Proper data anonymization and secure storage are essential.
  • Integration: Implementing speech analytics and conversational intelligence solutions requires integration with existing contact center systems and processes. Seamless integration is crucial for the success of AQM.
  • Scalability: Contact centers that handle high call volumes must ensure that speech analytics can scale to analyze and process a large number of interactions efficiently.
  • Agent Buy-In: Agents may be initially resistant to the idea of being continuously monitored and evaluated by AI. It’s essential to communicate the benefits of AQM and gain agent buy-in.

Automated Quality Management (AQM) is a pivotal aspect of contact center operations, ensuring consistent high-quality interactions and customer satisfaction. Leveraging speech analytics and conversational intelligence in AQM has the potential to transform the way quality management is conducted. Real-time analysis, automated quality scoring, performance feedback, compliance monitoring, and customer sentiment analysis are just a few of the benefits that these technologies offer.

As contact centers continue to evolve in response to changing customer expectations and regulatory requirements, the integration of speech analytics and conversational intelligence into AQM processes will become increasingly essential. By embracing these technologies, contact centers can deliver a superior customer experience, reduce compliance risks, and empower agents to provide exceptional service. Automated Quality Management, supported by speech analytics and conversational intelligence, is poised to play a crucial role in the future of contact center operations.

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