How Symfa leveraged modern technologies to transform a US insurance giant

Discover how Symfa is revolutionising CPP modernisation for an insurance giant by leveraging API-led connectivity and OutSystems. Tatiana Smolenchuk, Software Developer at the firm delves into the innovative strategies and insights from this ambitious digital transformation project, showcasing the power of modern technology in reshaping the insurance landscape.

Discover how Symfa is revolutionising CPP modernisation for an insurance giant by leveraging API-led connectivity and OutSystems. Tatiana Smolenchuk, Software Developer at the firm delves into the innovative strategies and insights from this ambitious digital transformation project, showcasing the power of modern technology in reshaping the insurance landscape.

Symfa’s primary tasks involved developing the user interface according to client mockups and implementing initial data validation.

They ensured that all data entered by users was stored correctly for further processing and instant quote verification. This involved validating input on the UI side, ensuring correct data formats, and transmitting data to deeper validation services connected to the company.

Their work encompassed creating similar applications for other insurance domains, such as health and life insurance, focusing on the backend, data processing, and project workflows.

Project history

Symfa joined the project a month after its inception when it was merely a bare skeleton with a few functionalities and one developer from the customer’s side. With a stringent two-month deadline, the team quickly onboarded and started working in two shifts with our US-based colleague.

Despite the challenges, including the US developer taking a six-week paternity leave, Symfa managed to deliver 75% of the first product version that went into production. Constant support was necessary post-launch, dealing with failures and fixing issues on the UI side or coordinating with other teams for deeper problems.

Project dependencies in insurance

The project heavily relied on project dependencies, including the Vertical Integration project and Rules Engine. The Vertical Integration project handles business logic, aggregating data from the UI and sending it to other services for transformation before returning it to Restaurant Insurance Soft.

The Rules Engine checks data against business rules, ensuring quotes are valid and compliant. Invalid data triggers error messages, prompting users to correct information and proceed.

After release to production

Post-production, active development continues with new features and UI validations being implemented.

Symfa conducts dev research to assess resources and provide detailed task conclusions to BAs and PMs. The team’s versatility and proactive approach are recognized by the client, enhancing the project’s success and operational efficiency.

Feedback processing

Immediate feedback post-launch allowed Symfa to address additional functionality requests promptly.

For instance, agents requested the ability to switch between questions using the Tab key, highlighting the importance of customer experience and leading to task adjustments.

Regular 15-minute calls with business analysts ensure technical assessments align with project requirements.

This practice reduces miscommunication and bureaucracy, streamlining task completion and enhancing development efficiency.

Symfa’s proactive approach and dedication led to the successful release of the first stable version of the project, now impressively operational across 37 states.

The client’s gratitude underscores the project’s success, with Symfa continuing to support and enhance the application.

This digital transformation journey spans 40 projects and 20 teams, exemplifying Symfa’s commitment to delivering top-notch insurance solutions.

Read the full blog from Symfa here.

Copyright © 2024 InsurTech Analyst

Enjoying the stories?

Subscribe to our weekly InsurTech newsletter and get the latest industry news & research

Investors

The following investor(s) were tagged in this article.