Legacy coupling
Product behavior, data access, and presentation logic were difficult to change independently.
Anonymous financial services SaaS case study
Rebuilding a financial-services SaaS platform for scalable growth
A financial-services software provider needed to replace a difficult-to-scale legacy product with a cloud-ready platform that could support growth, security, and a better user experience.
The situation
The existing product supported the business, but its architecture limited change.
The SaaS platform handled sensitive financial and insurance workflows. Its legacy PHP foundation made feature delivery increasingly difficult, while the user experience no longer matched customer expectations.
The client wanted more than a visual refresh. The new product needed clearer workflows, stronger security controls, and an architecture that could scale without carrying forward avoidable technical debt.
The challenge
Rebuild the product while protecting continuity, data integrity, and customer trust.
Architecture, UX, and security decisions had to advance together rather than become separate workstreams.
Sensitive workflows
Applications and financial data required secure handling, clear permissions, and reliable auditability.
Migration risk
Customers needed a predictable transition while the new platform reached functional maturity.
The solution
A modular cloud architecture paired redesigned journeys with secure product foundations.
The team translated existing business rules into clearer services and interfaces, then rebuilt high-value customer workflows in prioritized releases.
- 01
Discover the product core
Document user journeys, essential rules, data relationships, and migration dependencies.
- 02
Build modular services
Use .NET Core and AWS services to separate product capabilities and improve scalability.
- 03
Redesign the experience
Create Angular workflows that made complex application and review tasks easier to understand.
How we worked
Treat migration readiness as part of product delivery.
Product and engineering specialists worked from shared journey maps and acceptance criteria.
Security, permissions, and audit behavior were reviewed alongside each feature rather than postponed to the end.
Staged releases allowed the client to validate workflows and prepare users and data for transition.
01Discover
Prioritize journeys, rules, and migration dependencies.
02Architect
Define modular cloud services and security boundaries.
03Build
Deliver redesigned workflows in usable increments.
04Transition
Validate data and operational readiness before rollout.
The result
The SaaS product gained a scalable cloud base and a clearer customer experience.
The rebuilt platform replaced legacy constraints with modular services, responsive workflows, and security practices suited to ongoing product growth.
Cloud-ready platformbuilt for elastic service delivery
Clearer customer journeysacross application and review tasks
Stronger product controlsfor access, auditability, and change
Faster product evolution
Separated capabilities reduced the effort required to change one part of the platform.
Improved usability
Redesigned workflows made complex financial processes easier for customers and administrators.
Lower migration risk
Staged validation connected engineering progress with operational readiness.
Case taxonomy
Searchable by industry, technology, product, and business need.
Industry and product
- Financial Services
- Insurance Technology
- SaaS
- Application Processing
Technology and delivery
- AWS
- .NET Core
- Angular
- Cloud Architecture
- Iterative Delivery
Business need
- Platform Rebuild
- Scalability
- UX Modernization
- Security
- Data Migration
Build a SaaS product ready to evolve
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