CASE STUDY

Reimagining chronic care through personalized, data-powered engagement

Reimagining chronic care through personalized, data-powered engagement case study

The Client

A global healthcare technology company that provides personalized chronic care programs combining doctors, nutritionists, health coaches, and lifestyle interventions. Their platform integrates health data, lab results, and ongoing engagement to deliver sustainable outcomes for patients suffering from diabetes, gut issues, and metabolic conditions.

Key Challenges

  • High Support Load: Nutrition and health coaches spent hours answering repetitive patient questions (diet, supplements, lifestyle reminders).
  • Drop-Off Risk: Patients disengaged after initial consultations, reducing program effectiveness.
  • Fragmented Communication: WhatsApp, email, and app-based messages lacked consistency.
  • Limited Data Utilization: Large volumes of health records and feedback weren’t being used for real-time guidance.

Our Solution

Our client deployed Auralis AI agents, that were then trained on medical protocols, nutrition plans, and patient engagement workflows to:

  • Instant health query assistance: Answer routine health queries instantly (diet swaps, supplement schedules, lab test prep).
  • Proactive health reminders: Send proactive reminders for medication, meals, and appointments.
  • Real-time health data monitoring: Analyze health data in real-time and flag anomalies for human review.
  • Personalized patient engagement: Engage patients with personalized nudges to reduce churn and improve adherence.

ROI-Driven Results in 90 Days

Average response time (patient queries)

Before Auralis
6+ hours
After Auralis
2 minutes

Patient adherence rate

Before Auralis
58%
After Auralis
82%

Health coach spending time on routine queries

Before Auralis
65%
After Auralis
22%

Program completion rate

Before Auralis
52%
After Auralis
79%

Support Costs (per patient)

Before Auralis
₹1,200
After Auralis
₹400

The Process

Protocol-based training

AI agents were trained on Wellfinity’s medical protocols, nutrition frameworks, and patient engagement playbooks to ensure accurate, compliant responses

Proactive engagement

AI delivered contextual nudges, reminders, and lifestyle prompts that kept patients engaged between consultations and reduced drop-off.

Continuous feedback loop

Live inputs from doctors, nutritionists, and health coaches were used to refine AI responses, aligning support with evolving care practices.

Data-driven insights

Real-time analysis of lab results, health records, and patient feedback enabled the AI to flag anomalies and surface insights for medical teams.

Seamless omnichannel support

Integrated across WhatsApp, email, and in-app channels to ensure consistent, always-available patient engagement without overwhelming staff.

The Results

With Auralis AI, the client expanded care capacity, improved patient engagement, and built a more sustainable model for delivering chronic care at scale.

  • Routine health queries were answered instantly, easing the workload on medical staff
  • Patients received proactive reminders that kept them engaged between consultations
  • Health data was analyzed in real time, with anomalies flagged for timely intervention
  • Program completion rates increased as adherence improved significantly
  • Support costs dropped while patient satisfaction rose consistently

Client Testimonial

With Auralis, our patients get timely answers and reminders that keep them engaged between consultations. It’s taken a huge load off our doctors and coaches, who can now dedicate more attention to complex cases instead of repeating routine advice. We’ve seen patients stick with their programs longer, and the quality of our interactions has gone up significantly.

The Auralis Difference

See how Auralis deploys custom AI agents in days, not months.