Guide | QA for Call Centers: 3 Step AI Maturity Model

How are you automating QA for your call centers?

High call volumes, employee burnout, turnover, and complex workflows are just the start of burdens faced by contact centers regarding QA for call centers.

On top of that, the highly manual processes in healthcare are taking valuable time and resources (your agents) from creating the best patient experience and contact center performance. And AI is transforming how contact centers (you!) streamline processes and operationalize performance data.

This guide walks through leveraging AI for your call center QA by understanding the three (3) steps necessary to best implement and find success in your AI journey:

  1. Build your foundation
  2. Customize your automation
  3. Personalize your insights for action

Fill out the form to download QA for Call Center: 3 Step AI Maturity Model!

QA for Call Centers | Step by Step Approach to Scale QA | Authenticx

Want to learn more about how Authenticx works with quality and patient support services teams? Learn more here.

About Authenticx

Authenticx was founded to analyze and activate customer interaction data at scale. Why? We wanted to reveal transformational opportunities in healthcare. We are on a mission to help humans understand humans. With a combined 100+ years of leadership experience in pharma, payer, and healthcare organizations, we know first-hand the challenges and opportunities that our clients face because we’ve been in your shoes. In 2023, Authenticx was ranked No. 349 on the Inc. 5000 recognized as one of America and Indiana’s fastest-growing private companies.

Want to learn more? Contact us!

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