Say goodbye to limited manual sampling. Our AI-powered Quality Assurance automatically monitors every customer interaction, delivering comprehensive insights in hours to ensure consistent service excellence, reduce compliance risks, and transform your QA team from inspectors to strategic coaches.
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Time to insights compared to manual QA
Reduction in manual QA workload
Scoring consistency & compliance accuracy
Human reviewers often miss errors due to fatigue, bias, and subjective judgment.
Different QA agents interpret scripts, tone, and scoring rules differently, causing uneven evaluation.
Manual teams can review only a small portion of calls, creating blind spots in compliance and quality control.
Agents receive feedback late, delaying performance improvement and affecting customer experience.
AI analyzes 100% of calls and chats with objective, consistent criteria to eliminate human error.
Each conversation is scored the same way, ensuring fairness and removing subjective interpretation.
AI detects deviations, tone issues, missing disclosures, and policy violations with complete audit trails.
Supervisors receive real-time analytics, trends, and agent performance signals to speed up coaching and improvement.
AI analyzes all customer interactions across voice and chat, eliminating manual sampling gaps. This ensures complete compliance monitoring, reduces agent “luck” psychology, and drives consistent, reliable service quality.
Automatically inspects recordings from auto-outbound calls or user-uploaded audio files. Scores are calculated based on sensitive words (30% weight), negative words (50% weight), and SOP compliance (20% weight) .
Evaluates omnichannel chat records and manual agent conversations, using scoring logic based on sensitive words, negative expressions, and SOP compliance to ensure consistent quality, accurate monitoring, and improved service performance.
Results are delivered within 12 hours, enabling quick action on complaint trends. Customizable dashboards display QA scores, sensitive word frequency, intent distribution, and sentiment, with filters for time, agent groups, and channels.
Users can choose SOP, intent, or word-list models, enable channel separation, and configure labels by adjusting visibility, activation, and scoring weights to match operational needs and ensure accurate, flexible QA evaluation.
For manual outbound calls, configure QA talk-time limits, sampling percentages, or filter by agent results. For omnichannel chats, set daily maximum QA sessions to maintain consistent monitoring and workload control.
AI Rudder’s AI Quality Assurance monitors 100% of voice and text interactions to detect script deviations, compliance risks, and service issues instantly. Automated scoring and alerts reduce manual workload while ensuring no critical issues are missed. This strengthens regulatory adherence, improves accuracy, and protects customer trust with continuous, real-time oversight.
AI-powered QA evaluates every customer interaction, ensuring adherence to service standards and highlighting improvement areas. With automation, real-time agent assistance, and full-coverage monitoring, call centers can deliver better customer experiences. This boosts efficiency, reduces costs, and ensures consistent, high-quality support across all channels.
Evaluating all customer conversations, AI Rudder’s QA solution uncovers trends in agent performance, customer behavior, and compliance gaps. Insights are presented in dashboards and reports to support data-driven decisions. Managers can optimize scripts, enhance training, and proactively address issues, turning conversation data into strategic, actionable intelligence.
Julo adopted AI Rudder’s AI QA system to evaluate 100% of daily calls, eliminating blind spots and improving visibility into agent performance. Automated evaluations cut coaching prep from T+7 to T+1, while transcripts enable 3–4× faster reviews. Supervisors can verify incidents instantly, accelerating corrective actions and reducing customer risk.
