Overview
A leading software firm operating an AI powered document processing platform for the Healthcare market needed to accelerate product development while improving usability, scalability, and operational visibility. As customer onboarding increased and processing workflows became more complex, the platform required a focused engineering approach that could deliver faster releases and stronger foundations without disrupting existing systems.
The Challenge: Accelerating Platform Growth Without Disrupting Core Systems
The platform automated document intake, classification, eligibility checks, and job processing at scale. As adoption increased, several challenges emerged:
- Limited User Interface and Visibility
The existing system lacked a user-friendly interface to track the full lifecycle of documents and processing jobs, making it difficult for users to gain real time operational visibility. - Complex Authentication and Access Control Needs
Supporting multiple customers and internal users required a robust authentication framework with SSO, MFA, and fine grained role based access control. - Manual Review and Exception Handling
Automated processing still required human review for edge cases, but there was no structured workbench to manage reviews, assignments, and resolution workflows efficiently. - Performance Monitoring and Observability Gaps
High volume processing required stronger dashboards, metrics, and alerts to monitor throughput, errors, and SLA adherence across workflows.
To address these challenges, the organization needed a scalable product engineering model aligned to both near term delivery and long term growth.
The Wizr Solution: A Dedicated Product Engineering Approach
Wizr established a dedicated product engineering engagement designed to start small and scale predictably.
- Inception and Team Setup
The engagement began with an inception phase to align on scope, architecture, milestones, and governance. A cross functional team was formed covering front end, back end, quality assurance, DevOps, and data engineering. - Scalable Pod Based Delivery
The team scaled into dedicated pods consisting of 14 engineers, with the ability to expand into multiple pods as scope increased. This ensured consistent velocity, continuity, and delivery stability. - Modern User Experience and Workflow Design
A new Angular based user interface was built to support document uploads, job tracking, dashboards, and a structured manual review workbench. Authentication and RBAC workflows were implemented to support secure multi-tenant access. - Backend Integration and Analytics Enablement
A Backend for Frontend layer was introduced to securely connect the user interface with existing core services. Data was periodically moved into an analytics database to enable deeper reporting, historical insights, and performance analysis, with caching used to optimize high volume workflows. - Strong Governance and Execution Discipline
Clear communication models, sprint based execution, and continuous stakeholder alignment ensured seamless collaboration and predictable delivery.
The Impact: Faster Delivery and Stronger Platform Foundations
The engagement delivered measurable improvements across product delivery and platform maturity.
- Faster Time to Market
Dedicated teams and continuous releases enabled quicker rollout of new features and enhancements. - Improved User Experience and Operational Visibility
A modern interface, real time dashboards, and structured review workflows significantly improved usability and day to day operations. - Scalable and Secure Architecture
Multi tenant authentication, role based access control, observability, and audit trails strengthened platform security and compliance readiness. - Long Term Product Velocity
The dedicated engineering model ensured knowledge retention, delivery stability, and a strong foundation for continued innovation as the platform scales.
Overall Business Outcome
By partnering with Wizr, the organization transformed its product development approach into a scalable and predictable delivery model. Faster release cycles, improved usability, and stronger operational visibility enabled the platform to support growing customer demand without disrupting existing systems. The dedicated engineering model ensured long term knowledge retention, delivery stability, and a solid foundation for continued product innovation as the platform evolves.
