What is Automated Quality Management (AQM)

Automated Quality Management (AQM) uses AI, machine learning, and analytics to monitor, evaluate, and improve customer interactions in contact centers, replacing manual sampling with comprehensive analysis across channels like calls, chats, and emails.

How Success of AQM Is Measured

It’s measured through a mix of performance, cost, and customer impact metrics. Core KPIs include average QA scores, compliance rates, and first contact resolution (FCR), which reflect improvements in agent effectiveness and consistency.

ROI-focused indicators track cost savings from reduced manual QA, faster evaluation times, and agent performance gains after coaching. Customer satisfaction (CSAT), error rates, and system reliability also factor in, with most organizations targeting a 6–12 month payback period.

Training and Resources Needed for AQM

Training for AQM systems is role-based and includes short sessions for agents and supervisors, with more advanced training for admins. Teams need time to set up workflows, prepare data, and stay engaged during rollout, supported by vendor tools and internal resources.

Ongoing training, hands-on practice, and clear documentation help staff stay up to date and use the system effectively.

Tools and Platforms for Using AQM

See our article “5 Best Automated Quality Management Software” for a guide to AQM systems.