AI Driven Diabetes Care case study

Bajaj Finserv Health’s Wellness Program is designed to support individuals in maintaining and improving their health through preventive care, lifestyle management, and accessible healthcare resources. One of their program includes easing health for diabetes care management.

25 million Indians are prediabetic.

25 million Indians are prediabetic.

India is often referred to as the ‘Diabetes Capital of the World’

Diabetes leading cause of death in Mumbai for 8 years

India accounts for 17% percent of the total number of diabetes patients in the world

India accounts for 17% percent of the total number of diabetes patients in the world

India is the world's

India is the world's

diabetic capital

diabetic capital

There are currently close to 80 million people with diabetes

There are currently close to 80 million people with diabetes

About 90 million Indians could have Diabetes by 2030

40% of diabetic adults are unaware of their condition.

Type 2 diabetes is increasing in India

24.82% of diabetics in India are undiagnosed.

24.82% of diabetics in India are undiagnosed.

25 million Indians are prediabetic.

India is often referred to as the ‘Diabetes Capital of the World’

Diabetes leading cause of death in Mumbai for 8 years

India accounts for 17% percent of the total number of diabetes patients in the world

diabetic capital

There are currently close to 80 million people with diabetes

About 90 million Indians could have Diabetes by 2030

40% of diabetic adults are unaware of their condition.

Type 2 diabetes is increasing in India

24.82% of diabetics in India are undiagnosed.

India is the world's

Millions in India are battling Type 2 diabetes, a chronic condition that, if unmanaged, can lead to serious health risks such as heart disease, nerve damage, and kidney failure. HbA1c, a key measure of long-term blood sugar control, plays a crucial role in monitoring the condition.

We wanted to design a solution that helps these individuals manage their health effortlessly, transforming the experience from stressful to seamless, something I’m passionate about solving.

Millions in India are battling Type 2 diabetes, a chronic condition that, if unmanaged, can lead to serious health risks such as heart disease, nerve damage, and kidney failure. HbA1c, a key measure of long-term blood sugar control, plays a crucial role in monitoring the condition.

We wanted to design a solution that helps these individuals manage their health effortlessly, transforming the experience from stressful to seamless, something I’m passionate about solving.

Problem?

Problem?

Type-2 diabetes is a growing health challenge in India, with over 10 crore people currently affected. Managing HbA1c levels is critical in controlling blood sugar and preventing complications.

However, many people struggle to manage their condition effectively. Our solution aims to introduce a comprehensive diabetes care program within the Bajaj Finserv Health platform, offering users a supportive and accessible way to track and improve their health.

Type-2 diabetes is a growing health challenge in India, with over 10 crore people currently affected. Managing HbA1c levels is critical in controlling blood sugar and preventing complications.

However, many people struggle to manage their condition effectively. Our solution aims to introduce a comprehensive diabetes care program within the Bajaj Finserv Health platform, offering users a supportive and accessible way to track and improve their health.

🎯

Area to focus

Area to focus

Empowering Users with Health Awareness

Empowering Users with Health Awareness

Empowering Users with Health Awareness

Effective Monitoring and Tracking

Effective Monitoring and Tracking

Effective Monitoring and Tracking

An easy-to-understand yet impactful product

An easy-to-understand yet impactful product

An easy-to-understand yet impactful product

Factors Triggering Type-2 Diabetes

Factors Triggering Type-2 Diabetes

It was extremely important for us to know about the factors which trigger the glucose levels in the body.
Typically these 5 factors have a major & direct impact on HbA1c levels

It was extremely important for us to know about the factors which trigger the glucose levels in the body.
Typically these 5 factors have a major & direct impact on HbA1c levels

Sleep Quality

Poor sleep can lead to glucose intolerance, so tracking sleep patterns and providing actionable insights.

😴

Diet Quality

Dietary intake directly influences blood glucose levels.

🍔

Physical Management

Exercise increases insulin sensitivity, making it easier to control blood glucose levels

💪🏻

Stress Management

Chronic stress triggers hormones that elevate blood glucose.

😫

Weight Management

Reducing body weight, even slightly, can significantly lower HbA1c levels and reduce health risks.

🏋🏻

Diet Quality

Dietary intake directly influences blood glucose levels.

🍔

Sleep Quality

Poor sleep can lead to glucose intolerance, so tracking sleep patterns and providing actionable insights.

😴

Weight Management

Reducing body weight, even slightly, can significantly lower HbA1c levels and reduce health risks.

🏋🏻

Diet Quality

Dietary intake directly influences blood glucose levels.

🍔

Physical Management

Exercise increases insulin sensitivity, making it easier to control blood glucose levels

💪🏻

Stress Management

Chronic stress triggers hormones that elevate blood glucose.

😫

Sleep Quality

Sleep Quality

Poor sleep can lead to glucose intolerance, so tracking sleep patterns and providing actionable insights.

Poor sleep can lead to glucose intolerance, so tracking sleep patterns and providing actionable insights.

😴

😴

Weight Management

Weight Management

Reducing body weight, even slightly, can significantly lower HbA1c levels and reduce health risks.

Reducing body weight, even slightly, can significantly lower HbA1c levels and reduce health risks.

🏋🏻

🏋🏻

Diet Quality

Diet Quality

Dietary intake directly influences blood glucose levels.

Dietary intake directly influences blood glucose levels.

🍔

🍔

Physical Management

Physical Management

Exercise increases insulin sensitivity, making it easier to control blood glucose levels

Exercise increases insulin sensitivity, making it easier to control blood glucose levels

💪🏻

💪🏻

Stress Management

Stress Management

Chronic stress triggers hormones that elevate blood glucose.

Chronic stress triggers hormones that elevate blood glucose.

😫

😫

Target Users

Target Users

Our Total Addressable Market (TAM) in India is over 10 crores, which includes individuals who struggle with Type-2 diabetes as well as our existing diabetes plan holders who use our platform to access healthcare providers and our services.

Our Total Addressable Market (TAM) in India is over 10 crores, which includes individuals who struggle with Type-2 diabetes as well as our existing diabetes plan holders who use our platform to access healthcare providers and our services.

3.2 crores

3.2 cr

2000

2000

6.9 crores

6.9 cr

2008

2008

6.2 crores

6.2 cr

2014

2014

7.7 crores

7.7 cr

2018

2018

10.1 crores

10.1 cr

2024

10 crore+ people

Struggle with type-2 diabetes

Identifying gaps in the market

I couldn’t help but wonder, why hasn’t anyone in the industry tackled this yet? So, I conducted a competitive benchmark to see what’s out there and whether any solutions truly address the real problems users face. Here’s what I found:

Calorie tracking and food logging with Indian food database

Lack of consistent, personalised insights specifically for diabetes; tends to focus on general health and weight loss

Limited educational resources specifically for diabetes awareness and prevention

AI-driven insights and personalised suggestions based on user data

Less integration with daily lifestyle factors like stress and sleep, which also impact blood sugar

Focuses on overall diabetes control rather than real-time HbA1c feedback.

AI-driven glucose monitoring with real-time insights and trend analysis.

Focus on diabetes reversal but lacks personalised plans.

Limited integration with wearables for continuous monitoring.

Gaps in these platforms

Lack of guided Approach

Lack of guided Approach

Lack of guided Approach

Limited
Personalisation

Limited
Personalisation

Limited
Personalisation

Educational and Preventative Support

Educational and Preventative Support

Educational and Preventative Support

Community & Engagement Features

Community & Engagement Features

Community & Engagement Features

Why diabetes isn’t just one problem

Managing diabetes isn’t just about numbers. We found 5 key frictions that made staying on track emotionally and behaviourally difficult for users. These insights shaped every design choice that followed.

Problem Area

What It Looks Like for Users

What this demands from the design

Data Confusion

"I see numbers, but I don’t know what they mean or what to do."

Simplified, contextual insights with humanised language.

Emotional Burnout


"Even when I try, I feel like I’m failing. It’s exhausting."

Empathy-led visualisation. Feedback without judgment.

Inaction after Insight


"I know my sugar spiked... now what?"

Smart nudges + micro-suggestions in the moment.

Feeling Alone

"I’m managing this completely on my own."

Ways to connect with doctor/community.

Fragmented tracking


"I forget to log or miss key data when life gets busy."

Auto-syncing, quick log options, and reminders.

The emotional reality of diabetes

A health issue like diabetes significantly impacts patients' emotional well-being, so understanding their patterns was crucial in designing an effective solution.

Discouraged by their setbacks

Hopeful and proud of progress

Learning curve

Gains confidence but also tired

Anxious, and overwhelmed

Diagnosis & Initial Shock

Early Adjustments & Education

Consistency & Self-Management

Setbacks & Reevaluation

Acceptance & Balance

Discouraged by their setbacks

Hopeful and proud of progress

Learning curve

Gains confidence but also tired

Anxious, and overwhelmed

Diagnosis & Initial Shock

Diagnosis & Initial Shock

Early Adjustments & Education

Early Adjustments & Education

Consistency & Self-Management

Consistency & Self-Management

Setbacks & Reevaluation

Setbacks & Reevaluation

Acceptance & Balance

Acceptance & Balance

Framing design priorities

I grouped the users key challenges into four main categories to simplify the process of addressing the specific issues they face.

Summary

🥦

Daily lifestyle integration

Enable users to incorporate manageable, daily lifestyle adjustments that positively impact blood glucose control.

🔬

Continuous monitoring & feedback

Provide real-time tracking and feedback on progress to motivate and support users in their health journey.

❤️‍🩹

Educational support & resource

Equip users with tools and knowledge to better manage diabetes and adopt lasting lifestyle changes.

🧁

Personalised HbA1C management

Develop an AI-powered platform with tailored insights to help users effectively manage and lower HbA1c levels.

Crafting tailored solutions

Based on the insights from the user research and my understanding of the approach, I outlined the features that I believed would serve as possible solutions, framing my solution around these three main goals:

Summarising all the user reasearch

I outlined key insights from my user research, including pain points, challenges, needs, and the tech proficiency of the average diabetic user, offering a clear focus for creating a user-centric solution.

User Goals

Improve diabetes management

Enable health insights

Change health outcomes

Change health outcomes

Challenges

Overwhelmed with HbA1c Levels

Unclear and complex insights about sugar levels

No personalised reminders

Lack of information about how to reduce sugar levels

Not enough time to follow all instructions

User Needs

Medicine Reminders

Guidance and emotional support

Real-time blood glucose monitor

Reliable management which feels easy to use

Mapping solutions to problems

Here’s how I planned to solve the most critical pain points—rooted in what users said, felt, and struggled with.

Problem Area

What users said

What I Intended to do

Data Confusion

"I see numbers, but I don’t know what they mean or what to do."

Humanise data using visual trends, contextual feedback, and plain language insights

Emotional Burnout


"Even when I try, I feel like I’m failing. It’s exhausting."

Use encouragement markers and gentle progress nudges to ease the pressure

Inaction after Insight


"I know my sugar spiked... now what?"

Introduce timely, actionable suggestions linked to behaviour goals

Feeling Alone

"I’m managing this completely on my own."

Enable syncs with coaches, and surface supportive community tools

Fragmented tracking


"I forget to log or miss key data when life gets busy."

Build a low-effort logging flow with reminders and passive data syncs

Crafting tailored solutions

Based on the insights from the user research and my understanding of the approach, I outlined the features that I believed would serve as possible solutions, framing my solution around these three main goals:

Ideating Focus Areas

🥦

Daily lifestyle integration

Enable users to incorporate manageable, daily lifestyle adjustments that positively impact blood glucose control.

🔬

Continuous monitoring & feedback

Provide real-time tracking and feedback on progress to motivate and support users in their health journey.

❤️‍🩹

Educational support & resource

Equip users with tools and knowledge to better manage diabetes and adopt lasting lifestyle changes.

🧁

Personalised HbA1C management

Develop an AI-powered platform with tailored insights to help users effectively manage and lower HbA1c levels.

Crafting tailored solutions

Based on the insights from the user research and my understanding of the approach, I outlined the features that I believed would serve as possible solutions, framing my solution around these three main goals:

Ideating Focus Areas

🥦

Daily lifestyle integration

Enable users to incorporate manageable, daily lifestyle adjustments that positively impact blood glucose control.

🔬

Continuous monitoring & feedback

Provide real-time tracking and feedback on progress to motivate and support users in their health journey.

❤️‍🩹

Educational support & resource

Equip users with tools and knowledge to better manage diabetes and adopt lasting lifestyle changes.

🧁

Personalised HbA1C management

Develop an AI-powered platform with tailored insights to help users effectively manage and lower HbA1c levels.

How users move through the product

From input to insight, the flow helps users understand their HbA1c, see what’s driving it, and take personalised daily actions to improve.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

What's driving your HbA1c?

Your HbA1c is influenced by daily behaviours. We broke it down into 5 factors so users know exactly where to focus.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

These drivers form the basis of your projected HbA1c. Understanding them helps turn numbers into action with the weightage of each driver varying based on the user’s unique health profile.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

How does the diabetes care model work?

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance
to optimise health management.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

User Input

Users essential data, such as health metrics & preferences are captured

Scientific & Mathematical Foundation

The collected data & metrics is then passed through scientific & complex mathematical models

Artificial Intelligence

AI analyses the data to provide real-time, personalised feedback throughout the journey.

User Output & Guidance

The AI-driven insights are presented in a clear, structured format to help users effectively manage their health.

User Input

Users essential data, such as health metrics & preferences are captured

Scientific & Mathematical Foundation

The collected data & metrics is then passed through scientific & complex mathematical models

Artificial Intelligence

AI analyses the data to provide real-time, personalised feedback throughout the journey.

User Output & Guidance

The AI-driven insights are presented in a clear, structured format to help users effectively manage their health.

Your personalised diabetes care

Your personalised diabetes care

experience

experience

experience

Onboarding and getting started

Onboarding and getting started

The app provides a seamless onboarding process, guiding users to set up their profiles by entering essential details like age, weight, diabetes type, and health goals. This ensures a personalised experience from the start, helping users stay motivated and informed.

The app provides a seamless onboarding process, guiding users to set up their profiles by entering essential details like age, weight, diabetes type, and health goals. This ensures a personalised experience from the start, helping users stay motivated and informed.

1/5

Understanding Key Factors Affecting Your HbA1c Levels

Understanding Key Factors Affecting Your HbA1c Levels

Our AI-driven analysis helps you identify how lifestyle factors like weight, diet, physical activity, and sleep influence your HbA1c levels, empowering you to take control of your health.

Our AI-driven analysis helps you identify how lifestyle factors like weight, diet, physical activity, and sleep influence your HbA1c levels, empowering you to take control of your health.

2/5

Customised plan options

Customised plan options

Based on previous onboarding and tracking insights, we offer a range of plans that align with a user's health journey. This fosters motivation by allowing users to set their pace and intensity, providing transparency with clear, achievable steps for each plan.

Based on previous onboarding and tracking insights, we offer a range of plans that align with a user's health journey. This fosters motivation by allowing users to set their pace and intensity, providing transparency with clear, achievable steps for each plan.

2.5/5

Personalised health journey

Personalised health journey

After selecting your plan, we provide a clear roadmap with weekly goals, personalized calorie burn estimates, daily activities, and a dietary blueprint to guide you through your fitness journey. Stay on track and reach your health goals with tailored support!

After selecting your plan, we provide a clear roadmap with weekly goals, personalized calorie burn estimates, daily activities, and a dietary blueprint to guide you through your fitness journey. Stay on track and reach your health goals with tailored support!

2.5/5

Tracking and monitoring

Tracking and monitoring

We offer real-time tracking of key metrics like blood sugar, activity, calorie intake, and medication adherence, with interactive dashboards and reminders to support diabetes management. This includes clear infographics to help users understand their data.

We offer real-time tracking of key metrics like blood sugar, activity, calorie intake, and medication adherence, with interactive dashboards and reminders to support diabetes management. This includes clear infographics to help users understand their data.

3/5

WEARABLE

WEARABLE

CGM Support

CGM Support

The program also allows your to record Real-time glucose monitoring, Get personalised and actionable nudges that help you make better health choices throughout the day.

The program also allows your to record Real-time glucose monitoring, Get personalised and actionable nudges that help you make better health choices throughout the day.

I experienced CGM for 15 days to step into the user's shoes and gain firsthand insights

I experienced CGM for 15 days to step into the user's shoes and gain firsthand insights

Start Scanning

Let’s Scan

Please place the phone near the sensor as shown above

9:41

Scan your CGM device

Let’s Scan

Let’s Scan

Let’s Scan

Please place the phone near the sensor as shown above

Please place the phone near the sensor as shown above

Please place the phone near the sensor as shown above

9:41

9:41

9:41

Scan your CGM device

Scan your CGM device

Scan your CGM device

Logging and tracking

Quick access to track specific metrics such as blood glucose, weight, and steps. Designed a single-screen summary of all critical factors to reduce navigation time. Introduced toggles and buttons for seamless data entry, improving usability and engagement.

3.5/5

Logging and tracking

Logging and tracking

Quick access to track specific metrics such as blood glucose, weight, and steps. Designed a single-screen summary of all critical factors to reduce navigation time. Introduced toggles and buttons for seamless data entry, improving usability and engagement.

Quick access to track specific metrics such as blood glucose, weight, and steps. Designed a single-screen summary of all critical factors to reduce navigation time. Introduced toggles and buttons for seamless data entry, improving usability and engagement.

3.5/5

Blood sugar level insights and details

Blood sugar level insights and details

Provides users with a clear view of their journey, promoting accountability and engagement. Easy access to historical records and the ability to add new results improve usability. Simplified data visualization through dynamic charts reduces cognitive load.

Provides users with a clear view of their journey, promoting accountability and engagement. Easy access to historical records and the ability to add new results improve usability. Simplified data visualization through dynamic charts reduces cognitive load.

4/5

Factors insights and details

Factors insights and details

Provides deep insights into blood sugar factors, enabling users to identify and address causes. Dynamic charts simplify data visualisation, reducing cognitive load. Progress tracking and time-to-goal enhance motivation.

Provides deep insights into blood sugar factors, enabling users to identify and address causes. Dynamic charts simplify data visualisation, reducing cognitive load. Progress tracking and time-to-goal enhance motivation.

5/5

Design Constraints & Trade-offs

Balancing ideal user experiences with practical limitations meant making a few tough but thoughtful decisions.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Constraint / Limitation

What we ensured

Limited backend flexibility

Designed front-end heavy features that worked with existing APIs.

No real-time doctor integration

Built community support and educational layers to still offer guidance.

Diverse user base (urban vs rural)

Focused on visual cues, icon-based guidance, and minimum text dependency.

Sensitive health data

Minimised personal data collection and showed transparency in what’s used.

Every design choice reflected a careful balance, between impact, feasibility, and user trust.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Accessibility and edge cases

From input to insight, the flow helps users understand their HbA1c, see what’s driving it, and take personalised daily actions to improve.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Accessibility support

Design Area

What we ensured

Text & contrast

Followed WCAG-compliant contrast and font sizes

Touch targets


Tap zones ≥ 44px for easy mobile use

Voice & screen readers


Labels and actions supported via screen reader specs

Manual input fallback

Users could type values if trackers weren’t synced

Simple language


All messages written at 6th-grade reading level


Language support


Interface was tested for multilingual localisation needs

Handling edge cases

Edge cases

How it was handled

User skips uploading report

System asks later via soft nudge and offers manual input

No plan selected


User gets default light plan and can change later

No internet during sync


System stores data locally and retries in background

Low digital literacy

Used guided UI with fewer choices, no jargon

Device doesn't support latest tech


Fall back to static suggestions + SMS reminders (proposed in roadmap)


We consciously designed for the unpredictability of real life, unstable internet, low-end devices, or people who just aren’t tech-savvy. Every flow was built to reduce friction, prevent drop-offs, and support confidence.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Our approach simplifies user challenges into four key areas, integrating data-driven insights, AI, and structured guidance to optimise health management.

Let's look at the

impact

impact

impact

Early Adoption & Initial Momentum

Early Adoption & Initial Momentum

While this model was only launched in January 2025, and is yet to complete a full 6-month cycle to measure impact on HbA1c reduction, 

early indicators are promising. Adoption is growing, network partnerships are expanding, and users are actively engaging with the programme.

 We’re seeing positive behavioural shifts, but it’s too early to project long-term clinical outcomes.

Active users

12.4k+

Active Rate

12.4K+ users actively managing diabetes with our AI-driven care program

Expanding Network

30+ partners

Growing Network Partner

30+ diabetes specialists chains onboarded, integrating AI-driven care into patient treatment.

Adoption rate within a month

15K +

Users Onboarded

15K+ users enrolled, embracing AI-powered personalised diabetes management.

What's next for us?

What's next for us?

We aim to enhance this model by adding new features to improve the user experience. Additionally, we will closely monitor current user interactions to gain valuable insights.

We aim to enhance this model by adding new features to improve the user experience. Additionally, we will closely monitor current user interactions to gain valuable insights.

We are expanding our Diabetes AI Model platform to develop other essential health models, including the Liver Care Model, Kidney Care Model, and Weight Management Model. This platform serves as the foundation for these future advancements, enabling a comprehensive approach to personalised healthcare.

We are expanding our Diabetes AI Model platform to develop other essential health models, including the Liver Care Model, Kidney Care Model, and Weight Management Model. This platform serves as the foundation for these future advancements, enabling a comprehensive approach to personalised healthcare.

In the future, we aim to integrate a wider range of wearable devices beyond CGMs and Glucometers, enabling more holistic and real-time health monitoring.

In the future, we aim to integrate a wider range of wearable devices beyond CGMs and Glucometers, enabling more holistic and real-time health monitoring.

We plan to integrate home screen widgets for quick access to real-time health insights, making tracking and monitoring more seamless and convenient.

We plan to integrate home screen widgets for quick access to real-time health insights, making tracking and monitoring more seamless and convenient.