3x Faster Patient Onboarding with an AI-Driven MVP for an Aussie Healthcare Startup

• Providers spent excessive time gathering routine patient information.
• Patient drop-offs increased due to long registration flows.
• Appointment slots were underutilized without structured triage.
• The startup required scalable automation without compromising security.

• Patient symptom inputs were highly unstructured, limiting the ability to standardize triage logic and generate actionable summaries for providers.
• Medical staff were overloaded with both intake administration and clinical responsibilities, reducing overall productivity.
• Without a structured prioritization model, urgent cases were not consistently differentiated from routine appointments.
• AI integration had to meet strict privacy, security, and compliance requirements while maintaining a smooth patient experience.

• Validated workflow bottlenecks through collaborative discovery sessions.
• Designed structured triage journeys during a product design sprint.
• Built and tested conversational prototypes to refine intake logic.
• Delivered lean MVP development focused on measurable operational gains.
• Integrated AI-generated summaries into provider dashboards.
• Deployed securely in a scalable cloud environment.

Our engagement continued from ideation to MVP launch to deliver stunning results.

• 93% completion rate for AI-guided intake sessions.
• The intake process became three times faster.
• Manual triage time reduced by 47%.
• Provider slot utilization improved by 38%.