Automated Interaction Scoring
Evaluate calls, SMS, emails, and documents with customizable QA scorecards. EmberQA applies consistent rubrics across interactions, helping teams expand coverage beyond limited manual sampling.
Discover how EmberQA helps contact centers and customer-facing teams analyze every interaction with AI-powered quality assurance software. Automate scoring across calls, SMS, emails, and documents, identify red flags, uncover performance trends, and provide targeted coaching insights. Built for organizations across the United States that want broader QA coverage, more consistent evaluations, and actionable performance improvement without relying solely on manual sampling.

AI-powered tools for scoring interactions, detecting risks, coaching agents, and turning quality data into measurable performance insights.
Evaluate calls, SMS, emails, and documents with customizable QA scorecards. EmberQA applies consistent rubrics across interactions, helping teams expand coverage beyond limited manual sampling.
Identify hostile behavior, privacy violations, escalation risks, and other configurable concerns through automated analysis. Teams can surface urgent quality issues and respond with greater focus.
Use performance patterns, sentiment analysis, and real-time analytics to guide personalized coaching. Managers gain clearer visibility into trends and more actionable ways to support agents.
EmberQA helps contact centers and customer-facing teams move beyond limited manual review by analyzing every customer interaction across calls, SMS, emails, and documents. Custom scorecards, searchable transcripts, sentiment analysis, and configurable red flags make quality data easier to use. Personalized coaching recommendations and workflow automations help teams turn findings into practical performance improvement.

A practical AI quality assurance platform designed around the realities of modern customer interactions.
Analyze every customer interaction instead of relying only on limited manual sampling.
Apply customizable rubrics and scorecards consistently across teams, programs, and interactions.
Use recurring performance patterns to guide targeted coaching that managers can put into practice.
Trigger actions in CRMs and ticketing systems while verifying CRM data alongside customer calls.
Experienced leaders building practical AI for quality assurance teams.

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.
Quality assurance audit software helps organizations evaluate customer interactions against defined standards, score performance, identify risks, and support coaching. EmberQA uses AI to analyze calls, SMS, emails, and documents with customizable scorecards, rubrics, red flag rules, sentiment analysis, and searchable transcripts. This gives managers broader visibility than manual review alone and helps convert QA findings into actionable performance insights.
Talk with EmberQA about turning more interactions into actionable quality insights.
Listed as a major EmberQA customer.
Listed as a major EmberQA customer.
Listed as a major EmberQA customer.
Listed as a major EmberQA customer.
Listed as a major EmberQA customer.
Share your QA goals and discover how EmberQA can support broader interaction analysis, consistent scoring, and actionable coaching.
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