AI scores tickets to your SOPs with 90% precision
Intryc scores and gives feedback on real support conversations. Now with AI simulations, agents can role play real past tickets and get scored instantly, cutting onboarding time by 50 percent and saving CX leads 12 to 15 hours of manual training each week.
Intryc's AI Simulations feature creates real-life training scenarios from actual tickets and knowledge base articles. New agents practice across all channels (email, chat, calls) in multiple languages, receive instant AI feedback, and can cut onboarding time in half while reducing onboarding risk by 40%.
Intryc's AutoQA feature uses AI to evaluate 100% of customer interactions in real-time instead of the traditional 5% random sampling. Users can customize scorecards, set intelligent sampling rules, and choose AI, co-pilot, or manual modes to automate their QA process while maintaining 90%+ accuracy.
Intryc enables fully customizable workload assignment with flexible dispute resolution mechanisms. QA leads can set up statistically significant samples in minutes using custom rules and ticket attributes, then distribute workloads automatically while maintaining fairness and context in the audit process.
Intryc's AutoCoaching feature converts QA evaluation results into automated coaching sessions within one click. It generates personalized feedback with ticket examples, root causes, and action points, then tracks agent progress over time to measure coaching impact and continuous improvement.
Intryc's Performance Insights automatically analyzes tickets to uncover root causes of client frustrations in real-time. Users get DSAT analysis, sentiment analysis, and evaluation insights across their entire customer base in any language, enabling data-driven decision-making instead of anecdotal observations.