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case study

Revuud Had an Ambitious AI Roadmap for Healthcare Staffing. They Needed a New Engineering Partner to Own It.

Revuud healthcare staffing platform product screens
Revuud
IndustryHealthcare IT, HR Tech, Healthcare Workforce
TechnologyPython, Django, React, AWS
ServicesProduct Management, Frontend Engineering, Backend Engineering, QA Automation, Architecture
Websiterevuud.com

01 The Situation

Revuud is a healthcare IT talent marketplace that connects hospital systems with pre-vetted IT contractors, replacing the opacity and overhead of traditional staffing agencies. The platform's core promise: AI-powered matching that reduces time-to-hire and costs by more than 30%.

In 2022, their previous engineering partner had left them with security vulnerabilities, fragile infrastructure, low quality code, and inconsistent delivery cadence. The backlog was overloaded and unprioritized. The product's potential was clear. The foundation underneath it wasn't.

02 How We Worked Together

We became Revuud's full engineering team in November 2022, with no other internal or external development resources alongside us.

The first order of business was fixing what the previous partner left behind. We addressed the security vulnerabilities, rebuilt the infrastructure, improved code quality throughout the codebase, and put an audit trail in place to start collecting real data on user behavior. In parallel, we implemented a lean, agile product process, including sprint cycles, disciplined backlog management, shared roadmap in Jira, and standardized documentation in Confluence. For the first time, trade-offs were visible and priorities were clear. Stakeholders could forecast when features would ship, plan around them, and commit confidently to their customers.

With stability established, we accelerated: contract types, engagements, payroll, time tracking, and user dashboards all got meaningful upgrades. In 2023, we built the Opportunity Feature, transforming Revuud into a true two-sided marketplace where consultants can actively find and apply to open roles rather than waiting to be found.

The first major extension of that feature was AI-powered matching, which analyzes job listings and consultant profiles to surface the most qualified candidates automatically, reducing manual effort for hiring teams. We now sit on Revuud's AI advisory board, helping shape the roadmap for Scout, their next generation of AI capabilities, including AI-powered candidate profile summaries, AI-generated job descriptions, dynamic screening questions, and AI Suitability Score.

03 Key Deliverables

  • Platform stabilization: security remediation, infrastructure rebuild, code quality improvements
  • Process restructuring: sprint cadence, Jira roadmapping, backlog clearance, Confluence documentation
  • Opportunity Feature: two-sided marketplace for healthcare IT roles
  • AI-powered candidate matching engine
  • Scout AI roadmap advisory: AI profile summaries, AI job descriptions, dynamic screening
  • Ongoing platform development: payroll, time tracking, engagements, admin tools

“Remedy isn't a vendor. They're part of our team. With their help, we've implemented new processes, launched major product features, and started delivering AI-powered innovation with speed and consistency that we didn't have before. I have rarely worked with a development team with such a dynamic relationship that steadily produces such high quality results. When you bring an idea to Remedy, they either deliver it or bring back something better.”

Cheryl Jewer

Director of Product Management, Revuud

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