Automated QA Scoring
Evaluate every customer interaction across calls, SMS, emails, and documents with customizable AI scorecards and consistent quality rubrics.
Explore EmberQA as a powerful alternative to MaestroQA for contact centers and customer-facing teams. Analyze every interaction across calls, SMS, emails, and documents with AI-powered scoring, customizable rubrics, red flag detection, searchable transcripts, performance analytics, and targeted coaching insights designed to turn quality assurance data into measurable improvement.

AI-powered tools for scoring interactions, identifying risks, coaching agents, and turning quality data into actionable performance insights.
Evaluate every customer interaction across calls, SMS, emails, and documents with customizable AI scorecards and consistent quality rubrics.
Identify hostile behavior, privacy violations, escalation risks, and other configurable red flags so teams can respond to urgent quality issues.
Use recurring performance patterns and AI recommendations to create more targeted coaching conversations and support measurable improvement.
EmberQA helps contact centers move beyond limited manual sampling by analyzing every customer interaction with AI. Custom scorecards, searchable transcripts, sentiment analysis, red flag detection, and performance analytics give managers a clearer view of quality across calls, SMS, emails, and documents. The platform also supports workflow automations, CRM verification, and roleplay training to connect evaluation with practical improvement.

A practical AI quality assurance platform built around comprehensive analysis and actionable improvement.
Analyze every customer interaction instead of relying only on limited manual sampling.
Apply customizable rubrics consistently across interactions, teams, programs, and workflows.
Turn recurring performance patterns into focused coaching recommendations for agents and managers.
Support office-specific QA workflows and connect findings with CRM and ticketing actions.
Built by leaders experienced in AI automation and contact-center software.

CEO / Founder
RT Maddox is the CEO and Founder of EmberQA, an AI-powered quality assurance platform built for contact centers and customer-facing teams across the United States. With a background in AI automation and contact-center software, RT identified a critical gap between the volume of customer interactions companies handle and the limited manual sampling traditionally used to evaluate them. Drawing on years of hands-on collaboration with customer-obsessed organizations, RT led the development of EmberQA to bring automated scoring, red flag detection, and targeted coaching insights to a broader range of businesses. As founder, RT is focused on helping quality assurance teams move beyond guesswork, giving managers the tools to review every interaction and turn QA data into measurable performance improvement for their agents and their customers.

Head of Engineering
Ethan Shover serves as Head of Engineering at EmberQA, where he leads the technical development of the company's AI-powered quality assurance platform. Ethan is responsible for building the systems that allow EmberQA to analyze every customer interaction, apply consistent scoring rubrics, and surface urgent red flag alerts in real time. His engineering leadership ensures that the platform can reliably support office-specific QA workflows and integrate customer call data with CRM verification, giving quality assurance teams and contact centers a scalable, dependable tool for improving performance. Ethan brings a strong focus on building robust, high-performing software that translates complex AI automation into practical, actionable insights for organizations managing high volumes of customer interactions. His work is central to EmberQA's mission of transforming manual QA sampling into comprehensive, data-driven interaction analysis.
EmberQA is an AI-powered quality assurance alternative for contact centers and customer-facing teams. It analyzes interactions across calls, SMS, emails, and documents, then applies customizable scorecards, detects red flags, recommends coaching, and provides performance analytics. Teams evaluating alternatives should compare interaction coverage, scoring flexibility, workflow support, risk detection, coaching capabilities, and how well each platform fits their existing QA process.
Talk with EmberQA about your interaction analysis and coaching requirements.
Share your quality assurance goals and learn how EmberQA can help analyze interactions, identify risks, and improve coaching workflows.
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