James S. Wilson

Context

A specialized healthcare clinical trial SaaS suite required operational alignment to accelerate release velocity, maintain strict NICE regulatory compliance, and lower unsustainable delivery overhead.

Intervention

Deployed an engineering in-sourcing playbook to transition product delivery from an extended 14-member subcontractor team to an agile, 5-member internal North American engineering pod. Simultaneously integrated generative AI frameworks (LLMs and ML) directly into the core regulatory document processing pipeline.

Outcomes

• ○ Reduced Opex by 50% through structural engineering optimization
• ○ Accelerated release cadence from quarterly to continuous monthly deployment
• ○ Maintained 100% compliance with global medical literature review standards

Context

A market-leading enterprise health risk management platform needed to transition its core portfolio from a legacy desktop infrastructure to a scalable, cloud-native model to capture enterprise-level market share.

Intervention

Spearheaded a complete desktop-to-SaaS architectural modernization, building an NCQA-certified product offering. Designed a highly scalable, multi-tenant cloud infrastructure utilizing automated build/test pipelines and code review protocols. This structural shift established the company's first formalized Agile SDLC, embedding continuous SOC 2 readiness directly into the development cycle.

Outcomes

• ○ Unlocked Fortune 100 market, onboarding Microsoft and other enterprise clients
• ○ Scaled from hundreds to tens of thousands of concurrent users
• ○ Expanded EBITDA margins through infrastructure clustering optimization

Context

A multinational enterprise systems corporation required rigorous operational discipline across its distributed engineering divisions, alongside deep strategic oversight to navigate large-scale organizational disruption.

Intervention

First operationalized global execution standards by defining a Software Subcontract Management framework that secured corporate SEI CMM certification and led an 18-member engineering team across five global sites. Leveraging this deep enterprise architecture experience and subsequent empirical MIT research, transitioned to directly advising four corporate board members to expose structural executive blind spots and resource misalignments.

Outcomes

• ○ De-risked large-scale operations by translating complex data into actionable strategic direction
• ○ Secured corporate SEI CMM certification, improving global time-to-market
• ○ Delivered foundational cross-border platforms on schedule and under budget