Udacity's small but mighty Talent Acquisition team was faced with an impossible challenge: high application volume, complex screening logic, and limited bandwidth.

Overwhelming volume: Some roles received 700+ applications in a single day, overwhelming recruiters and delaying shortlists for hiring managers.

Manual screening bottlenecks: Recruiters struggled to keep up with resume reviews and scorecard logic - often having to choose between speed and quality.

Global hiring complexity: Operating across six countries meant diverse hiring requirements and candidate expectations, further compounding delays.

Candidate experience concerns: Long waiting times left candidates in limbo, hurting engagement and employer brand.

Udacity wanted to keep its talent team lean and highly productive - scaling capacity through smarter automation rather than additional headcount.

Udacity implemented Ryan, Screened's AI recruiter, to automate resume screening across all geographies.

Automated precision: Ryan evaluated thousands of resumes daily, applying consistent criteria across markets and surfacing the most relevant candidates within minutes.

Smarter scorecarding: Ryan applied a structured, criteria-based approach that hiring teams could fully customize per role - yet stay consistent. This eliminated guesswork and bias, ensuring every candidate was evaluated on clear, job-relevant standards rather than intuition.

Full Greenhouse integration: Recruiters could review AI-screened results, fit scores, and tags directly in their ATS - no system switching required.

Candidate-first automation: Ryan ensured timely candidate updates and reduced idle application time, improving engagement and transparency.

Ryan effectively became an extra recruiter on the team - available 24/7, consistent, and scalable.