A privately held, private-equity-backed company provides high-complexity healthcare transaction management that requires substantial clinical insight. Despite continued commercial growth, the company faced repeated technology delays and failed modernization efforts. This raised concerns about the scalability, reliability, and compliance of its core utilization management platform.
Newfire was engaged to assess the platform’s technical and operational foundations and determine the nature and extent of underlying risk. The engagement included codebase and data model analysis, alongside a review of historical implementation patterns and interviews across engineering, clinical, data, and executive teams.
The assessment identified systemic platform risk driven by a tightly coupled, highly customized core system that constrained change and increased operational and compliance exposure. Newfire defined clear paths forward, enabling leadership and investors to evaluate tradeoffs, investment requirements, and expected impact on scalability and business viability.
Discovery
Newfire was engaged through the company’s private equity sponsor following the appointment of a first-time CEO, at a point when delivery delays and platform instability had raised concerns about long-term viability and risk.
The assessment team combined Newfire advisory leadership, UI/UX expertise, data and analytics senior engineering, and business analysis support.
Key assessment activities included:
- AI agent–supported analysis of the codebase and database relationships, using Newfire developed assessment capabilities
- Review of historical implementation and customization patterns, including analysis of thousands of support tickets
- Interviews across engineering, clinical operations, data, product, and executive leadership
Diagnosis
The assessment identified a small number of interrelated issues that together created systemic platform risk.
Unsustainable monolithic core
The utilization management platform exceeded one million lines of code—materially larger than comparable healthcare platforms in Newfire’s portfolio that scale effectively (typically 100,000–200,000 lines). Extreme coupling made safe change difficult.
Bespoke logic and learned helplessness
Client-specific logic was hard-coded throughout the system, leading teams to repeatedly rebuild functionality from scratch and driving long, fragile implementation cycles.
Operational and regulatory risk
Slow, manual workflows reduced throughput and increased error rates. Gaps in auditability and workflow enforcement created compliance exposure and downstream risk for payers and patients.
Organizational strain
Teams were operating at capacity, with current strategies consuming capital without reducing risk or improving scalability.
Final diagnosis: Incremental remediation would not materially change the risk profile. The platform required a full rebuild of the database, case management system, and application layer. Given the implications of recommending a full replatforming, Newfire ensured the conclusion was evidence-based and clearly justified to both leadership and investors.
Solution
After exhaustively evaluating incremental remediation options and finding them insufficient, Newfire recommended a full replatforming of the utilization management core, designed to reduce systemic risk while preserving business continuity and client experience. The solution focused on replacing bespoke, code-driven behavior with a configurable platform capable of supporting scale, compliance, and future automation with agentic AI.
Key elements of the proposed solution included:
- Highly configurable case management system (low-code / no-code): A single, extensible case engine capable of supporting client-specific workflows through configuration rather than custom code.
- AI Native Design: Designed from the ground up with support for complex agentic workflows with high reliability, explainability and resiliency, supporting the company’s broader AI transformation.
- Rules engine and state machine at the core: Centralized workflow logic to enforce consistency, auditability, and regulatory requirements across all clients.
- Event-driven architecture: Clear separation of concerns and predictable system behavior, reducing the blast radius of change and improving operational resilience.
- Zero custom code per client: Configuration-first design to shorten implementation cycles and reduce long-term maintenance cost.
To protect the core business during replatforming, Newfire designed data migration pipelines from day one, using modern data tooling such as Databricks. This allowed production data to flow continuously into the new platform as it was built, reducing cutover risk and ensuring that existing customers would not experience disruption or forced re-implementation.
Implementation
Newfire proposed an 18-month implementation plan combining technical execution with organizational and operational change. This multidisciplinary approach drew on advisory leadership across engineering, data, and UX, supported by deep digital health experience and the ability to staff and execute at scale.
To secure alignment, Newfire worked closely with the CEO to translate technical findings into a decision framework legible to investors, clearly articulating risk, tradeoffs, sequencing, and expected outcomes. This enabled leadership to engage the private equity sponsor with a defensible plan and obtain approval to proceed.
Newfire established an outcome-based delivery approach, assuming accountability for milestones as well as responsibility for staffing strategy, engineering execution, and ongoing advisory oversight.
Expected business impact
- Faster and safer case processing
- Reduced reliance on clinicians for routine cases
- Regulatory compliance by design
- Faster client onboarding through configuration rather than custom code
- Consolidation onto a single, scalable platform
The proposed approach ties platform investment directly to business durability, ensuring modernization translates into measurable improvements in risk profile, efficiency, and long-term viability. With investor approval secured, implementation is now ramping up.
