AI Engineering Pods Accelerate Deployment of a Caregiver Support App for Alzheimer's Care

Project snapshot

Supporting people living with Alzheimer’s disease often places a significant organizational burden on caregivers. While digital health tools can help bridge knowledge gaps and improve care coordination, many platforms struggle to evolve due to aging technology and rising maintenance costs.

A healthcare technology company focused on precision medicine faced exactly this challenge when its caregiver support application approached the expiration of a $700,000 legacy platform license. The company needed to rebuild the application before the renewal deadline, preserve business continuity for thousands of active users, and create a modern foundation for future growth.

About the client

The client is a healthcare technology company focused on digital solutions that support precision medicine and improve patient outcomes. One of its products is designed specifically for caregivers of people living with Alzheimer’s disease. The platform is not a certified medical device and is not intended for diagnosis or treatment. Instead, it serves as a practical companion for caregivers, helping them better understand the disease, track patient wellbeing, prepare for healthcare appointments, and access reliable educational resources.

Business challenge

The client’s existing digital therapeutics application supporting Alzheimer’s caregivers was running on outdated technology with a $700K license about to expire. The client needed a rapid rebuild to avoid renewal costs and maintain business continuity.

Intellias treated the deadline as a design constraint: we decomposed the app into value slices and used governed GenAI to compress discovery, testing, and content production.

A key complication was the lack of reusable source code. The Intellias team had to analyze the live application, reverse-engineer its functionality, document requirements, and recreate the platform from the ground up. The fixed license expiration date became a non-negotiable delivery milestone, requiring a highly efficient development approach and parallel execution across multiple workstreams.

Solution

Intellias organized delivery around specialized AI Engineering Pods:

• The Foundry Pod analyzed the production application, mapped user journeys, documented business requirements, and reverse-engineered existing workflows. Based on this analysis, the team decomposed the platform into manageable value streams that could be developed and validated independently.
• The Builder Pod then rebuilt the application from scratch using a cloud-native architecture, modern authentication and consent management mechanisms, shared SDKs, and FHIR-first APIs to support future healthcare integrations.

To meet the aggressive delivery timeline, Intellias incorporated governed GenAI throughout the development lifecycle. AI-assisted workflows supported:

• Requirement documentation.
• Legacy application analysis.
• Code generation and suggestions.
• Automated test creation.
• Content templating and localization.

All AI-generated outputs remained subject to rigorous engineering controls, including code reviews, traceability requirements, and security validation through SAST and DAST processes.

The rebuilt platform includes comprehensive observability and operational tooling, including cost monitoring and telemetry, autoscaling infrastructure, storage optimization, and automated CI/CD pipelines and testing frameworks.

The result is a fully modernized version of the application that retained the functionality users relied on:

• Modernized caregiver experience

Although the new release preserved the core capabilities of the original application, the entire user experience was redesigned.

The platform now offers:

• A streamlined onboarding experience for caregivers.
• A modern, intuitive user interface optimized for daily use.
• Improved navigation and content discoverability.
• Enhanced dashboards that surface the most relevant caregiving information.
• Simplified workflows for recording observations and managing patient information.

These improvements reduced user friction and made critical caregiving tools easier to access.

• Symptom tracking and patient monitoring

The application enables caregivers to maintain a detailed profile for the person under their care and track changes in condition over time. Caregivers can record symptom observations, log daily notes and behavioral changes, monitor disease progression trends, and maintain a centralized history of caregiving activities.

Having this information organized in a single location helps caregivers better understand changes in patient wellbeing and prepare for healthcare appointments.

• Physician visit reports

Caregivers can generate structured reports that compile symptom logs, observations, and other tracked information over a selected time period. These reports can be exported, printed, or saved as PDF documents and shared during physician appointments.

• Educational resource library and AI chatbot

The platform includes an extensive knowledge base focused on Alzheimer’s care. To simplify information access, the app also includes an AI-powered chatbot trained on approved content. Instead of manually searching through articles, caregivers can ask questions and receive relevant guidance quickly.

• Appointment and notification management

The application also offers lightweight appointment management functionality, allowing caregivers to maintain a personal schedule of healthcare visits. Users receive reminders and notifications about upcoming appointments, helping them stay organized and better prepared for consultations.

Business outcomes

The modernization initiative delivered measurable business value across technology, operations, and user experience.

• Avoided major licensing costs: By successfully rebuilding and deploying the new platform before the legacy license expired, the client avoided approximately $700,000 in renewal costs.
• Accelerated delivery and change management: AI-assisted testing, automated delivery pipelines, and standardized engineering practices reduced change lead time by 30–40%, enabling faster product evolution and quicker response to user feedback.
• Lower operating costs: The cloud-native architecture and vendor consolidation strategy reduced infrastructure and tooling expenses by 20–25% per active user.
• Improved product quality: A dual-run user acceptance testing approach, combined with automated testing and modern release practices, resulted in 40–60% fewer defects reaching production.
• Faster physician interactions: Structured reporting capabilities enabled caregivers to provide more organized information during consultations, helping save an average of 8 minutes per clinician visit.
• Future-ready foundation: Beyond immediate business benefits, the new platform established a scalable foundation for future innovation. Modern architecture, built-in observability, audit-ready traceability, and compliance-by-design principles provide the client with a sustainable platform for future feature expansion while maintaining operational efficiency and user trust.