Platform Transformation for Scalable Patient Support

Patient support scaled: 25% lower costs, 2M+ patients reached

How standardization and automation helped a specialty therapy services leader grow faster without growing costs.

How Brillio scaled patient support for 80+ pharma clients

A leading patient services company serving over 80 pharmaceutical and biotech manufacturers needed to scale specialty therapy support faster and more efficiently.
Heavy customization, non-standardized implementations, and role ambiguity were driving up costs and slowing time-to-value across all therapy programs.
Brillio delivered a managed services model anchored in implementation standardization, support engineering, and DevOps-led delivery enablement across the full program.
The result: a 25% reduction in cost per implementation, a 33% improvement in time-to-therapy, and over two million patients served through AI-powered support.

Customization was the problem, not the solution

Challenge

The client had built a strong reputation as a technology-enabled partner to pharmaceutical and biotechnology manufacturers, serving more than 80 of them across specialty therapy programs. Their platforms were designed to cover the end-to-end patient journey, from initiation through adherence. But as the business grew, so did the cost and complexity of running it.

The underlying problem was structural. Each implementation had been treated as a custom engagement. Processes were not standardized. The platform lacked true configurability. And without a repeatable model, teams had no consistent way to retain best practices or transfer knowledge from one program to the next. Role ambiguity made delivery harder. Low transparency slowed decision-making. The result was a growing gap between what the organization needed to deliver and what it could realistically sustain.

These were not surface-level inefficiencies. They compounded over time, increasing the cost of every new program rollout and stretching the teams responsible for maintaining existing ones. As the volume of programs increased, so did the risk. The client recognized that the model that had brought them to this point was not the model that would take them further. They needed a partner who could introduce repeatable, standardized implementation approaches without disrupting the programs already in flight.

Solution

The client selected Brillio based on our track record in healthcare product engineering, cost-effective execution, and capacity to deliver at speed and scale. The engagement began with a six-week assessment of the client’s current state, producing a transformation roadmap built around three areas: implementation, support, and delivery.

Implementation standardization replaced the custom-first approach. Reusable components, configurable products, CI/CD automation, and defect remediation accelerators were introduced. We retained best practices and applied systematically across successive rollouts rather than rediscovered with each new engagement. A POD-based delivery model, managed through technical program managers, tied execution to SLA and KPI outcomes.

Support and sustenance engineering addressed platform resiliency. Faster incident resolution, repeatable ticket handling automation, and structured change request management kept existing programs running without interruption while new ones were launched in parallel.

Delivery enablement was achieved through plug-and-play componentization, packaged features, and DevOps-led optimization of testing and deployment. Capacity was managed through rolling forecasts and bench-ready Flex PODs, allowing the team to scale up or down without disrupting continuity. The technology stack spanned .NET Full Stack, .NET Core, React, SQL, MERN stack, Talend, and SDET-led automation, with GenAI and Brillio Centers of Excellence integrated throughout to accelerate and sustain the transformation.

Measurable gains across cost, speed, and patient scale

Outcomes

Cost per implementation dropped by 25% through standardization, automation, and an optimized managed services delivery model across all programs.
Time-to-therapy improved by 33% as faster onboarding and streamlined implementation processes shortened the path from enrollment to treatment start.
Over two million patients were reached through AI-powered onboarding and support, demonstrating the scale the new model made possible.
Faster, more scalable program delivery resulted in improved market share and higher Net Promoter Scores across the client’s pharma partnerships.

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From fragmented delivery to scalable, standardized growth

Before the transformation, every new patient support program carried the full cost of reinvention. Standardization changed that equation. By replacing custom-built implementations with reusable components and repeatable playbooks, the client could launch programs faster, serve more patients, and do both at lower cost.

Patient support scaled: 25% lower costs, 2M+ patients reached

How Brillio scaled patient support for 80+ pharma clients