AI Quality connects seamlessly with Knowledge AI, letting you enrich Scorecards with contextual insights from your knowledge base. Effortlessly pull relevant content into Scorecard Builder to enhance clarity, improve AI assessments, and tailor Scorecards for ultra-precise evaluation.
Leverage Clara, ConnexAI’s powerful LLM, to build Scorecards through simple prompts. Whether creating full assessments or fine-tuning specific criteria, Clara speeds up the process and pulls in relevant Knowledge Sources, which ensures every Scorecard is thorough, accurate, and insight-driven.
'Increase clarity in Scorecards and foster accurate assessments with the AI Assessor node. Assign names and avatars to your AI Assessors to build trust, highlight changes in assessment criteria, and help teams easily identify and organise different marking responsibilities.
AI Quality’s Keyphrase Analysis leverages AI-driven NLP to extract key insights from customer interactions, automating QA, compliance tracking, and performance monitoring. It reduces manual workload, flags risks, and highlights customer concerns to enhance efficiency and CX.
ConnexAI's Entity Recognition module identifies and categorises key elements in conversations, documents, and assessments to streamline data processing and improve analytics and forecasting.
AI Quality’s Topic-Based Modelling automatically identifies recurring themes in customer interactions, providing a structured view of key discussion areas. This enables businesses to detect emerging issues, improve response strategies, and optimise customer engagement.
AI Quality ensures secure handling of sensitive data by identifying and redacting PII, protecting customer privacy without compromising reporting accuracy.
AI Quality’s reporting tools provide real-time visibility into agent performance and campaign outcomes. With intuitive dashboards and detailed metrics, businesses can track key indicators and make data-driven decisions to enhance quality assurance.
