From dispersed feedback to structured system intelligence The NHS listens more than ever before. Patient feedback is collected at unprecedented scale through surveys, digital channels, complaints systems, patient-reported measures, staff intelligence, regulatory submissions, and emerging AI tools. Yet volume alone has not produced the system-level learning the NHS needs. The central question is no longer whether the NHS listens. It is whether it can reliably convert lived exp

Most organisations still rely on traditional surveys and forms to gather information. It’s quick to build, but it rarely captures what people actually want to say. Talu offers a better way. Talu isn’t a chatbot. It’s a deterministic, rule‑based conversation engine that guides people through structured, natural conversations. Every question, branch and action is controlled and auditable. That means no surprises or AI improvisation, just clarity, consistency and safety. People

Healthcare systems generate vast amounts of narrative data every day. These narratives contain critical insight into patient experience, safety risk, operational pressure, workforce culture, service quality, and system failure. Yet most of this information remains fragmented across disconnected systems, reviewed manually, and analysed in isolation. Our internal review identified more than 70 distinct narrative data sources across eight major domains within NHS and healthcare

Every day, the NHS generates an extraordinary amount of narrative information. Patients describe experiences in complaints, Friends and Family Tests, PALS conversations, surveys, workshops, social media posts, and Healthwatch feedback. Staff document incidents, concerns, safeguarding issues, operational pressures, reflective practice discussions, and governance reviews. Clinicians record assessments, referrals, care plans, discharge summaries, and multidisciplinary discussion