Teams were blind to confusion. Now, AI tracks 48 emotions per word, flagging anxiety to guide targeted coaching.
A conversational intelligence platform analyzes human interactions for organizations ranging from customer contact centers to correctional departments.
Traditional sentiment tools relied on binary classifications and general tonal scoring, often missing subtle emotional shifts like confusion or...
“We were blind to what our customers were feeling until we had emotion as a signal. Now we coach smarter and intervene faster.”
IRIS Insights's Conversation analysis is part of this use case:
Conversational intelligence and automation platform for customer experience and QA.
AI platform for building expressive, emotionally intelligent voice applications.
Related implementations across industries and use cases
Manual tests missed emotional cues. Simulations now stress-test agent empathy, catching failures before they reach real users.
Zoning rules buried in thousands of PDF pages caused permit denials. An AI agent now interprets codes to guide applicants instantly.
95% of recorded calls went unreviewed. AI now separates speakers live, feeding instant coaching cues to agents as they speak.
Surveys missed 95% of data and took weeks to analyze. AI now scans 100% of interactions, identifying churn risks in seconds.
Generic tools missed product names, skewing data. Tailored models now master niche jargon using just 20 hours of sample audio.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Teams manually monitored 395km of track. Now, AI predicts faults like wire sagging in real time, targeting 20% less downtime.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Teams were blind to confusion. Now, AI tracks 48 emotions per word, flagging anxiety to guide targeted coaching.
A conversational intelligence platform analyzes human interactions for organizations ranging from customer contact centers to correctional departments.
Traditional sentiment tools relied on binary classifications and general tonal scoring, often missing subtle emotional shifts like confusion or...
“We were blind to what our customers were feeling until we had emotion as a signal. Now we coach smarter and intervene faster.”
IRIS Insights's Conversation analysis is part of this use case:
Conversational intelligence and automation platform for customer experience and QA.
AI platform for building expressive, emotionally intelligent voice applications.
Related implementations across industries and use cases
Manual tests missed emotional cues. Simulations now stress-test agent empathy, catching failures before they reach real users.
Zoning rules buried in thousands of PDF pages caused permit denials. An AI agent now interprets codes to guide applicants instantly.
95% of recorded calls went unreviewed. AI now separates speakers live, feeding instant coaching cues to agents as they speak.
Surveys missed 95% of data and took weeks to analyze. AI now scans 100% of interactions, identifying churn risks in seconds.
Generic tools missed product names, skewing data. Tailored models now master niche jargon using just 20 hours of sample audio.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Teams manually monitored 395km of track. Now, AI predicts faults like wire sagging in real time, targeting 20% less downtime.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.