Across local authorities and NHS services, waiting lists are growing faster than staff capacity. Manual updates, inconsistent definitions between councils, and limited real-time data make maintaining fair and accurate lists hard. AI-driven automation helps by keeping lists continuously updated and transparent.

AI applies clear, consistent criteria for prioritisation and ensures residents in all communities are contacted equally. It provides auditable data broken down by age, ethnicity, and deprivation, supporting councils’ equality duties and NHS fairness principles.

Tovie AI is fully GDPR-compliant, ISO 27001-certified, and Cyber Essentials-certified. The system follows local safeguarding protocols; all interactions are recorded and auditable. Sensitive cases are immediately escalated to qualified staff.

Voice AI contacts residents directly, gathers updates about their circumstances, and flags urgent cases. In occupational therapy, this means faster reviews, reduced admin time, and better prioritisation of residents with the highest needs.

Voice AI can check whether care technology devices are being used, offer troubleshooting support, and record outcomes. When devices are not in use, the system flags them for recovery, improving resource efficiency and sustainability.

Voice ensures inclusion and higher engagement rates. Phone calls remain the most effective and accessible channel for reaching residents, especially older adults or those with limited digital access. Voice AI allows councils to contact hundreds of residents simultaneously, while maintaining empathy and clarity.

The AI uses advanced speech recognition and natural language understanding (NLU) combined with carefully designed conversation flows approved by council teams. Residents can speak in their own words, and the system adapts while ensuring clarity, compliance, and respect.

In recent pilots, over 70% of calls collected new or updated information, and 85% reductions in admin processing time were achieved. Staff capacity was released for frontline work, while urgent cases were escalated within 24 hours.

Yes. The solution connects securely with case management systems, telephony platforms, Microsoft 365, and Teams. It feeds structured data directly into reporting dashboards and business intelligence tools already used by councils and NHS teams.

No. AI supports staff by handling repetitive, time-consuming calls and data entry. This frees skilled professionals, such as occupational therapists, social workers, and housing officers, to focus on direct resident contact and complex assessments.

Most councils see benefits within four to eight weeks of deployment. Early adopters have cleared backlogs, shortened waiting times, and improved resident engagement without adding to staff workload.

Residents are informed that they are speaking with an AI assistant acting on behalf of their council or NHS service. The tone is friendly and professional; residents can always request a human follow-up. Feedback from pilot projects has been overwhelmingly positive.

Voice AI and automation technology can support a wide range of UK public sector services, including: waiting list management, council tax collection and arrears recovery, care assessments, citizen engagement, voice bots, document search, and children’s services.

The healthcare sector faces growing demand and limited capacity. Patient waiting list management is one of the most pressing issues for providers today. Long waits can worsen conditions and reduce patient fairness. Patient waitlist management directly affects health outcomes and public trust. Without regular updates, urgent needs may be missed, putting vulnerable patients at risk.

Our approach goes beyond efficiency; it addresses systemic challenges in healthcare operations. With AI-driven waitlist management, patients receive real-time updates on their status. Automated waitlist management reduces human error and cuts delays. Every waitlist management solution is flexible, adapting to local requirements while meeting national healthcare standards.

The first step is to evaluate your current processes. Identify where manual admin causes delays, and assess which services are most affected by long waits. From there, an AI-driven solution can be tailored to your needs, ensuring compliance, efficiency, and fairness.