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 underutilised without structured triage.
• The startup required scalable automation without compromising security.

• Symptom descriptions were captured in inconsistent formats, making it difficult to categorise cases accurately or prepare doctors with a structured context.
• Operational teams were stretched between intake coordination and clinical care, reducing efficiency during peak consultation hours.
• The absence of a structured prioritisation system meant urgent cases could blend with routine bookings, affecting patient experience.
• Deploying AI required strong privacy safeguards and secure data handling to maintain regulatory alignment and patient confidence.

• We conducted collaborative idea & validation workshops to map operational gaps and quantify how manual intake was impacting consultation throughput.
• During the product design sprint, we defined a structured triage flow that balanced automation with clinical oversight to ensure patient safety.
• Through rapid prototyping, we tested conversational prompts and symptom categorisation logic to refine clarity, reduce confusion, and minimise drop-offs.
• In the MVP development phase, we built an AI-enabled intake assistant that translated patient responses into structured summaries ready for clinical review.
• The AI integration ensured these summaries were automatically attached to each booking, allowing doctors to focus on diagnosis rather than data collection.
• The system was deployed within a secure and scalable cloud environment, built to support future feature expansion and growing consultation volumes.

From concept shaping to AI-driven MVP rollout, we worked alongside the client to turn ambition into tangible outcomes.

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