Launched a year early into COVID, the crisis helpline's old tech couldn't meet NHS response mandates. AI routing and auto-summaries now do.
One of the largest NHS trusts providing physical and mental health services in the North West of England, serving more than 1.4 million people across 170 clinical services sites spanning the North West, North Wales, and the Midlands.
Existing technology couldn't meet NHS-mandated 1-hour and 4-hour response directives or support diversion from A&E services. When COVID-19 hit in...
NHS Foundation Trust providing physical health, mental health, addiction and learning disability services across North West England.
AI-powered customer engagement and workforce optimization platform.
Mersey Care NHS Foundation Trust's Call analytics is part of this use case:
Related implementations across industries and use cases
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
Medical jargon slowed 250 agents handling 180k monthly calls. Now, an AI copilot feeds staff real-time knowledge to guide scheduling.
Aggregate scores hid when the coach veered into clinical territory. Adversarial simulations now block every boundary slip before it ships.
Vague surveys hid why 360K members called. Managers now use AI to analyze every conversation, score agents, and train support chatbots.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Charting ate into patient time and kept nurses late. Ambient listening now captures notes in real time as they move room to room.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.
Launched a year early into COVID, the crisis helpline's old tech couldn't meet NHS response mandates. AI routing and auto-summaries now do.
One of the largest NHS trusts providing physical and mental health services in the North West of England, serving more than 1.4 million people across 170 clinical services sites spanning the North West, North Wales, and the Midlands.
Existing technology couldn't meet NHS-mandated 1-hour and 4-hour response directives or support diversion from A&E services. When COVID-19 hit in...
NHS Foundation Trust providing physical health, mental health, addiction and learning disability services across North West England.
AI-powered customer engagement and workforce optimization platform.
Mersey Care NHS Foundation Trust's Call analytics is part of this use case:
Related implementations across industries and use cases
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
Medical jargon slowed 250 agents handling 180k monthly calls. Now, an AI copilot feeds staff real-time knowledge to guide scheduling.
Aggregate scores hid when the coach veered into clinical territory. Adversarial simulations now block every boundary slip before it ships.
Vague surveys hid why 360K members called. Managers now use AI to analyze every conversation, score agents, and train support chatbots.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Charting ate into patient time and kept nurses late. Ambient listening now captures notes in real time as they move room to room.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.