Customer Challenges

A leading healthcare provider faced significant challenges with their associate-facing mobile applications. These applications, critical for daily operations, were fragmented across three separate platforms:

• Scheduler: For appointment management and staff scheduling.

• Messenger: For internal and customer communication.

• Records: For accessing and managing associate and patient data.

This fragmentation led to several critical issues that impacted both efficiency and user experience. The key pain points included:

• Performance Issues: Existing Xamarin apps suffered from slow response times, frequent crashes, and an outdated user interface (UI), leading to frustration and decreased productivity.

• Technical Debt: The legacy codebases were challenging to maintain and enhance, hindering the ability to introduce new features or address bugs effectively.

• Operational Inefficiencies:
  • Multiple Codebases: Increased maintenance overhead, requiring separate updates and deployments for each app.
  • Inconsistent User Experience: Different UIs and workflows across apps led to confusion and a steep learning curve for associates.

• Security Vulnerabilities: Outdated libraries and frameworks posed security risks. 

• Resource Constraints: The customer faced tight deadlines and a limited budget for modernization, demanding a rapid and cost-effective solution.

Partner Solution

AI-Assisted Rapid Prototyping:

• Utilized AI design tools (e.g., Figma plugins with AI capabilities) to generate multiple UI/UX options based on user personas and requirements.

• Reduced design time from weeks to days, enabling faster iteration and feedback cycles.

• Conducted iterative feedback loops with key stakeholders (associates, managers) to refine the design and ensure optimal user experience. 

Efficient Code Migration & Modernization:

• Preserved existing business logic while modernizing the implementation, minimizing disruption, and ensuring data integrity.

• Leveraged AI-powered coding assistants (e.g., Cursor, GitHub Copilot) to generate Flutter code from natural language specifications, improving developer productivity and code quality.

Unified Architecture & Enhanced Security: 

• Developed a single codebase for all functionalities (scheduling, records), simplifying messaging, maintenance, and updates.

• Implemented modern authentication mechanisms (e.g., Okta integration) for improved security and compliance. 

• Adopted a microservices architecture for backend services, ensuring scalability and resilience.

Design & Architecture Approach

Customer Benefits

Cloud IQ’s AI-assisted modernization approach successfully transformed the customer’s fragmented mobile applications into a unified, high-performance platform. By leveraging AI tools for rapid prototyping and code generation, we significantly reduced development time and costs. The unified architecture and enhanced security features improved the overall user experience and ensured data protection. This project demonstrates the power of AI in modernizing legacy systems and delivering significant business value.

Key benefits included:

Improved Performance: Significant reduction in app loading times and improved responsiveness, leading to increased associate productivity.

Enhanced User Experience: Unified UI and consistent workflows across all functionalities, resulting in higher user satisfaction.

• Reduced Maintenance Costs: A single codebase simplified maintenance and updates, lowering operational expenses.

• Increased Security: Modern authentication and robust security measures protected sensitive data and ensured compliance.

Products Used

Flutter, Dart, Figma plugins, Cursor/GitHub Copilot, Okta.