Technology advisory and platform architecture for an AI-powered recruiting solution purpose-built for Police, Fire, and EMS agencies.
Jobs-to-be-Done
"When a Police Chief or Fire Marshal needs to fill critical positions fast, give them an AI-powered platform that finds qualified candidates, automates screening, and accelerates hiring — so they can focus on protecting their community."
This is the core job Ravynex hired Tebeau Group to get done — the real outcome they needed, not just the deliverable they asked for.
Public safety agencies across the country face a severe staffing crisis — outdated recruiting processes, high candidate drop-off, and slow hiring cycles leave departments understaffed and communities at risk. Ravynex was founded by veterans and public safety professionals to solve this problem with AI. Tebeau Group served as Technology Advisor, shaping the platform architecture and go-to-market strategy.
Key Outcomes
Every Tebeau Group engagement runs through BMAD — our proprietary Breakthrough Methodology of Agile AI-Assisted Development. Here's how we applied it to Ravynex.
01 — Diagnose
Advised on the core AI recruiting engine architecture, data model design, and the agency onboarding workflow that would scale from small departments to major metro agencies.
02 — Specify
Conducted deep research into the unique compliance, background check, and psychological evaluation requirements of law enforcement and fire department hiring.
03 — Architect
Designed the candidate matching algorithm, automated screening workflow, and agency dashboard that gives hiring managers real-time visibility into their pipeline.
04 — Orchestrate
Supported the initial agency pilot program and go-to-market strategy, resulting in early adoption by departments across multiple states.
Comprehensive solutions delivered across strategy, design, development, and marketing.
Provided technology advisory on the AI matching engine, candidate scoring model, and data infrastructure that powers the Ravynex platform. Tebeau Group shaped the architecture decisions that determined how the platform ingests candidate data, applies AI scoring models trained on public safety hiring criteria, and surfaces ranked candidate recommendations to agency administrators — ensuring the technical foundation could support the platform's expansion from pilot agencies to a national network.
Designed the compliance framework governing law enforcement hiring requirements, background check integrations, and data security standards for the Ravynex platform. Public safety hiring involves sensitive personal data, strict regulatory requirements, and background check processes that vary by jurisdiction — the compliance framework ensured the platform could operate across all 50 states while meeting the specific requirements of each agency's hiring process.
Built the agency onboarding workflow and admin dashboard that allows police departments and fire agencies to configure their specific hiring requirements, manage candidate pipelines, and track applicants through every stage of the hiring process. The dashboard was designed for agency administrators who are not technical users — with a workflow-first interface that guided them through setup and made day-to-day candidate management as intuitive as checking email.
A structured approach ensuring quality delivery and measurable results at every phase.
Stakeholder interviews, competitive analysis, and strategic roadmap development.
Visual identity creation, brand guidelines, and design system development.
Full-stack build, quality assurance, and performance optimization.
Deployment, campaign launch, and ongoing performance monitoring.
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