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Automated quality monitoring

Automated quality monitoring software enables the analysis of customer interactions to improve agent performance and ensure compliance.

Automated quality monitoring solutions help organizations analyze 100% of customer interactions across channels, identifying areas for improvement in agent performance, customer experience, and compliance adherence. By automating the QA process, businesses can gain deeper insights into customer behavior and optimize contact center operations for better outcomes.

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87Verified suppliers
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VP of Customer Experience Director of Quality Assurance CTO Compliance Officer Team Leads

The challenge

Your organization struggles to maintain consistent quality and compliance across all customer interactions due to the limitations of manual quality assurance processes. The small sample sizes reviewed by human analysts often miss critical issues, leading to compliance breaches, lost revenue opportunities, and agent attrition. This lack of comprehensive insight prevents your organization from identifying systemic problems and implementing effective coaching strategies, ultimately impacting customer satisfaction and business performance.

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98% of customer interactions are typically unmonitored in traditional contact centers
30-45% industry average for agent turnover
$10-20K fully loaded cost to replace a single agent

The solution

Automated quality monitoring addresses your unique challenges through modern solutions and key capabilities.

Omnichannel ingestion

Ingests and analyzes interactions from voice, email, chat, and SMS channels, providing a unified view of the customer journey.

100% interaction scoring

Transcribes and scores every interaction against predefined scorecards without human intervention, moving from sampling to census.

Advanced search and retrieval

Enables querying the database with complex boolean logic and metadata filters, turning the recording database into a searchable knowledge base.

Automated redaction

Automatically detects and mutes/masks sensitive data like credit card numbers and social security numbers from audio and transcripts.

Generative AI summarization

Uses LLMs to generate concise summaries of interactions, highlighting intent, outcome, and follow-up actions for efficient review.

Automated coaching workflows

Triggers remediation workflows based on performance, automatically assigning micro-learning modules and scheduling follow-up reviews.

See how automated quality monitoring suppliers stack up

Our Palomarr Insights chart shows the full landscape of automated quality monitoring solutions.

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Capabilities Innovation

How to evaluate automated quality monitoring

1

Integration deepness

Evaluate whether the solution is native to your CCaaS platform or requires a complex integration, as stability of data connectors is crucial.

2

TCO and hidden costs

Consider licensing models (named agents, concurrent agents, or hours of audio processed) and potential storage fees for long-term retention.

3

AI tunability

Assess whether you can tune the sentiment engine to reflect your specific brand tone and add custom vocabulary to the dictionary.

4

Security and compliance

Verify support for Bring Your Own Key (BYOK) for encryption and ensure data residency meets GDPR requirements if applicable.

Questions to ask suppliers

Use these questions during supplier evaluations to ensure you're choosing the right partner for your needs.

Automated quality monitoring RFP guide
  • Can you demonstrate your transcription accuracy (WER) using our noisy, accent-heavy audio files during the POC, and how do you handle industry-specific acronyms?
  • Does your 'Real-Time' capability require a proprietary softphone or SBC configuration, and what is the exact latency in milliseconds from speech to screen?
  • How does your system distinguish between 'Customer Dissatisfaction' and 'Agent Empathy' when both parties are raising their voices or speaking quickly?
  • Can you map the workflow of how a 'failed' automated score leads to a verified behavioral change in an agent without supervisor manual intervention?