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.
This is such a smart use of AI for CX teams, turning real support conversations into training simulations sounds like a huge efficiency boost. Love that it focuses on feedback and measurable improvement, and not just automation.
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Can you also generate/polish your answer with AI?
Intryc
Great question @busmark_w_nika! Right now, agents or learners can’t generate or polish their responses with AI during the simulation. We’ve focused on helping them handle real-life scenarios and train on company knowledge bases and customer interactions first.
That said, we’re actively working on adding features like macros, internal notes, and status updates (and more!) to make the experience even closer to what support agents deal with day to day.
Curious, do you think having AI-assisted polishing built in would make the simulation feel closer to how your team actually works day to day?
Intryc
@busmark_w_nika that's great feedback and something we're indeed considering! Thank you for your support!
minimalist phone: creating folders
@alexintryc You are welcome :)
minimalist phone: creating folders
@saish_sankhe I would appreciate something that offers some possible answers, but you can still intervene in them.
Intryc
@busmark_w_nika That makes total sense. Thank you for your valuable feedback!
mcp-use
Looove this @vincenzo_fanizza!
Turning real support data into scored simulations is brilliant!
Big win for CX people 👏
UI Bakery
Seems like a great way to onboard new CS employees. Congrats!
Intryc
@vladimir_lugovsky that's what our customers tell us too! :)
Thank you for your support!
Intryc
@vladimir_lugovsky Totally, onboarding is one of the main use cases. Appreciate your support!