Improved Triage by 35% with an AI-Driven MVP for a Healthcare Startup in the UK

• Clinicians were burdened with administrative intake before consultations.
• Patients encountered lengthy forms and repeated symptom reporting.
• Appointment capacity was not optimised due to a lack of structured triage.
• The platform required a secure and compliant AI-supported intake framework.

• Patients described symptoms in varied, unstructured formats, which limited the ability to apply consistent triage rules and delayed consultation preparation.
• Clinical staff were balancing administrative intake responsibilities alongside medical duties, creating inefficiencies in appointment readiness.
• Urgent cases were not always clearly identified during booking, affecting scheduling optimisation and overall slot utilisation.
• Any AI-enabled workflow had to align with stringent data protection and healthcare compliance standards to ensure patient trust and security.

• We initiated idea & validation sessions to analyse intake inefficiencies and understand how the administrative burden was affecting clinician time and patient flow.
• Through a focused product design sprint, we designed a structured AI-supported triage pathway that followed clinical logic while maintaining strict data protection standards.
• Using interactive prototyping, we simulated patient journeys to validate symptom capture accuracy, prioritisation rules, and usability before scaling the build.
• The MVP development phase delivered a conversational AI assistant that standardised free-text symptom inputs into structured summaries aligned with medical guidance.
• With seamless AI integration, triage summaries were embedded directly into the clinician dashboard, improving consultation preparedness without introducing new tools.
• The platform was deployed within a secure, compliant environment to ensure healthcare-grade data handling and long-term scalability.

Our partnership to build a scalable AI MVP spanned from early idea validation through MVP launch, translating vision into measurable impact.

• 93% of patients completed the AI triage flow.
• Intake became three times faster than the previous process.
• Manual triage time dropped by 47%.
• Doctor slot utilisation improved by 38%.