Interaction Scoring
Evaluate customer interactions across calls, SMS, emails, and documents with customizable QA scorecards. EmberQA supports consistent scoring so teams can compare performance using standards aligned with their workflows.
Compare customer complaint management software systems designed to turn interaction data into actionable quality insights. EmberQA helps contact centers and customer-facing teams analyze calls, SMS, emails, and documents with AI-powered scoring, red flag detection, sentiment analysis, workflow automation, and targeted coaching—so managers can identify risks faster, apply consistent standards, and improve customer experiences across their operations.
Explore AI-powered tools for scoring interactions, identifying complaint risks, and turning quality data into focused coaching actions.
Evaluate customer interactions across calls, SMS, emails, and documents with customizable QA scorecards. EmberQA supports consistent scoring so teams can compare performance using standards aligned with their workflows.
Surface hostile behavior, privacy violations, escalation risks, and other configurable red flags before they become recurring quality problems. Teams can search transcripts and prioritize issues requiring attention.
Use performance patterns, sentiment insights, and real-time analytics to guide personalized coaching. Workflow automations can trigger actions in CRMs and ticketing systems for more connected follow-up.
Customer complaints often reveal patterns that manual review misses. EmberQA analyzes every customer interaction across calls, SMS, emails, and documents, applying custom rubrics and detecting configurable risks. Its analytics, transcript search, sentiment analysis, and coaching recommendations help contact-center teams move from scattered complaint information to clearer decisions and measurable performance improvement.
EmberQA connects AI analysis with practical quality assurance workflows for customer-facing teams.
Review every customer interaction instead of relying only on limited manual sampling and isolated call reviews.
Apply customizable rubrics and QA scorecards consistently across interactions, teams, programs, and workflows.
Identify hostile behavior, privacy violations, and escalation risks with configurable red flags and searchable transcripts.
Turn recurring performance patterns into personalized coaching recommendations and focused agent development.
AI and contact-center specialists building practical quality assurance 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.
The best software depends on how your organization receives, evaluates, and resolves complaints. For contact centers and customer-facing teams, EmberQA provides AI-powered analysis across calls, SMS, emails, and documents. It supports custom QA scorecards, sentiment analysis, red flag detection, transcript search, workflow automations, and coaching insights, helping teams identify patterns and improve interaction quality.
Talk with the EmberQA team about your quality assurance workflow.
Share your current QA and complaint-management workflow, and the EmberQA team can explain how its AI-powered platform may support your goals.
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