Communication Compliance for Contact Centers

The platform features AI red-flag detection designed to surface urgent compliance risks and high-risk customer interactions. It identifies issues such as privacy violations, improper advice, hostile agent behavior, and customer escalation risks. On supported plans, automated red-flag alerts notify supervisors immediately when high-risk conditions occur, enabling swift intervention and review.

EmberQA supports compliance monitoring across multiple communication channels. The platform evaluates voice calls, SMS messages, emails, documents, and chat transcripts. Teams can connect supported data sources or submit customer interaction records through standard API ingestion, allowing consistent quality scoring and risk detection across all customer-facing channels without separate standalone tools.

Yes, teams can configure custom QA scorecards, rubrics, metrics, and weights to align with specific organizational policies and communication guidelines. The system supports customer-defined detection criteria, metric-level explanations, automatic rubric selection, and review corrections, allowing managers to tailor scoring standards to exact operational requirements across different teams, channels, and locations.

EmberQA includes QA result webhooks and workflow automations triggered by scores, red flags, and call outcomes. When a compliance issue or score threshold is met, the platform can trigger internal actions or push updates to CRMs, ticketing systems, internal dashboards, and supervisors to facilitate timely follow-up.

EmberQA offers two primary subscription plans: Essentials at $49 per agent per month and Pro at $89 per agent per month. Both plans include unlimited usage of their included features without usage-based overage fees. Additionally, manager and reviewer access is provided at no extra cost unless their own interactions are scored.

EmberQA connects interaction scoring with targeted coaching recommendations based on recurring performance gaps. On the Pro plan, supervisors can create agent improvement plans with metric targets, track daily progress, and utilize AI roleplay training, lessons, quizzes, and mock-caller practice to help agents master compliance protocols and handle difficult customer situations.