How Two Government Organizations Transformed Hiring with Cangrade’s AI Candidate Screening

Government hiring has a reputation problem. Between panel scheduling that drags on for weeks, manual scoring processes held together by spreadsheets, and the constant pressure of compliance, it’s no surprise.

But it doesn’t have to be this way. Two government organizations partnered with Cangrade to overhaul their talent assessment, interviewing, and selection. Their results show what’s possible when public sector hiring is powered by AI tools adapted to the unique demands of government.

The FDNY Fire Cadet Academy: Exceeding Diversity Goals with Bias-Free Assessments

Every two years, the FDNY Fire Cadet Academy graduates a class of 100 future firefighters. It’s a highly selective program, the applicant pool is large, the stakes are high, and the process is monitored by the Court.

Before Cangrade, evaluating that volume of applicants for just 100 spots was time-consuming and often relied on subjective judgments and personal connections. The Academy needed a tool that could do two things at once: identify applicants most likely to succeed as firefighters and future leaders, and ensure the process was fair, objective, and defensible.

Cangrade built a custom talent assessment using data from active FDNY firefighters and officers that identified the soft skills that actually drive firefighter success. It then used patented, bias-free predictive analytics to evaluate each applicant objectively.

The results were significant. The Academy saw an 87% higher percentage of BIPOC cadets compared to the current percentage of BIPOC firefighters, and a 300% higher percentage of cadets who identify as women compared to current women firefighters.

As Academy Administrator Ruth Boddie shared, the Academy selected Cangrade for its patented bias-removal process and its ability to predict performance accurately. Its partnership with Cangrade delivered results that exceeded diversity goals by a significant margin.

A Government Agency: Cutting Weeks From the Hiring Process

This second government agency faced a different but equally frustrating problem: a hiring process bottlenecked at every step.

The agency used a panel-based interview model with strict compliance requirements. Before Cangrade, identifying a qualified candidate and setting up and conducting an interview took at least two weeks. Recruiters spent more than 30 minutes per candidate on scheduling and administrative setup. Each panel interview required three to four members to block a full hour. After the interview, an organizer would manually collect feedback, calculate scores, and update spreadsheets, adding another hour per candidate to the workflow.

Compliance steps like capturing candidate location preferences and release waivers were handled manually and separately from the interview process, adding time and risk.

The agency evaluated multiple platforms and chose Cangrade for its end-to-end automation, deep customization, support for class-based hiring, and a dedicated team that partnered with them from day one.

The transformation was dramatic. Interview setup time went from over two weeks per candidate to minutes per entire hiring class. Recruiter administrative time dropped by more than 90%. Panel members went from spending a full hour per candidate in live interviews to 15–30 minutes reviewing asynchronous submissions, a 75% reduction. Manual feedback collection, score calculation, and spreadsheet updates were fully replaced by automated scoring with downloadable reports, and compliance workflows were integrated directly into the platform.

What These Two Cases Have in Common

On the surface, these organizations look different. One is a first responder academy selecting 100 cadets from a large applicant pool. The other is a government agency running panel interviews for ongoing hiring classes. But the underlying pattern is the same.

Both were relying on manual, subjective processes that couldn’t scale. Both needed to meet strict compliance and fairness standards. And both saw measurable, documentable improvements once they replaced those processes with Cangrade’s AI-powered candidate screening platform.

For the FDNY, the transformation was about who gets hired. About building a more diverse, higher-performing cadet class through objective, bias-free assessment. For the government agency, it was about how hiring happens. It needed to eliminate weeks of administrative burden and give recruiters and panel members their time back.

Both cases saw clear, measurable results.

With the right tools, government hiring can be faster, fairer, and more effective. If your agency is still relying on spreadsheets, unstructured interviews, or assessments that haven’t been updated in years, Cangrade can help. Request a demo today.