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HEALTHCARE · PACE CAR

Turning AI adoption into a repeatable delivery model

A leading home infusion and healthcare services company partnered with V.Two to bring AI-assisted development into live project work, helping internal teams build capability without slowing active delivery

The Challenge

A leading home infusion and healthcare services company needed a structured way to put AI adoption into practice in a regulated environment, with human review at the right gates and stronger internal capability by the end of the engagement

The key requirement was simple: when V.Two rolled off, the client team needed to be better equipped to use AI in their standard workflow, not dependent on V.Two to keep moving

What We Built

V.Two worked alongside client engineers, QA, product experts, and security leaders to run our Pace Car model, applying an AI-assisted SDLC to real project work across two active workstreams

Every stage of the framework was defined, tested, and refined through delivery. The methodology was shaped around the client’s actual environment, including their codebase, regulatory constraints, and engineering culture

Two workstreams ran in parallel

  • Legacy Connector Migration — A large library of Java Camel connector applications needed to be migrated to Go to free compute on on-premises servers running at capacity. V.Two focused on automating tests for existing connectors, comparing pre- and post-migration versions, and building AI-assisted test automation that could scale
  • Sales Team Mobile Application — A Swift mobile application for the client’s sales team. V.Two established the guardrails first, including architecture documentation, developer-specific guidance, and story standards for each ticket, then applied AI-assisted development through Plan → Act cycles. The application moved from early prototype through a product revision cycle toward production readiness

Results

  • Client engineers were shipping their first AI-supported story end to end within the first day, even without prior experience using AI in their SDLC
  • In three weeks, the hybrid team completed 6 connectors, matching the total delivered through traditional development over the prior 12 months
  • Because client engineers worked inside the process from day one, handoff was already complete by the end of the engagement

Client

Healthcare enterprise (unnamed)

Industry

Healthcare

Service

Pace Car

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