Automated Interaction Scoring
Evaluate every eligible customer interaction across calls, SMS, emails, and documents using customizable scorecards and consistent quality rubrics for regulated teams.
Strengthen bank compliance programs with AI-powered interaction analysis, automated quality scoring, red flag detection, and targeted coaching. EmberQA helps regulated financial services and collections teams review customer calls, SMS, emails, and documents more consistently, uncover potential privacy and conduct issues, and turn scattered QA data into actionable performance insights without relying solely on manual sampling.

AI-powered tools help regulated financial teams monitor interactions, identify risks, standardize reviews, and improve compliance coaching.
Evaluate every eligible customer interaction across calls, SMS, emails, and documents using customizable scorecards and consistent quality rubrics for regulated teams.
Surface potential privacy violations, hostile behavior, escalation risks, and other configurable red flags so managers can prioritize urgent quality concerns.
Use recurring performance patterns to recommend personalized coaching and help managers address conduct, disclosure, and process issues more effectively.
EmberQA helps banks, lenders, collections teams, and fintech servicing organizations move beyond limited manual review. AI analyzes customer interactions across calls, SMS, emails, and documents, then applies custom scorecards and compliance-focused red flags. Managers gain searchable evidence, clearer performance trends, and targeted coaching opportunities that support more consistent oversight across customer-facing teams.

Built for organizations that need broader interaction visibility and more actionable quality assurance.
Expand beyond limited manual sampling with automated analysis across customer calls, SMS, emails, and documents.
Apply standardized, customizable scorecards across regulated financial services and collections workflows.
Identify potential privacy, conduct, and escalation issues sooner with configurable red flag detection.
Turn recurring interaction patterns into focused coaching insights that help managers improve agent performance.
AI and contact-center software experience guides EmberQA's product development.

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.
Bank compliance and regulatory software helps financial organizations monitor customer-facing activity, apply internal or regulatory quality criteria, identify potential risks, and document review results. EmberQA focuses on AI-powered quality assurance for calls, SMS, emails, and documents, using customizable scorecards, red flags, analytics, and coaching insights to support more consistent interaction oversight.
Talk with EmberQA about your interaction monitoring and quality assurance goals.
EmberQA customer listed in company information.
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Share your interaction monitoring goals and learn how EmberQA can support your quality assurance workflow.
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