Case Study: Opencare saves 100+ recruiting hours with Ribbon's conversational AI

A Ribbon Case Study

Preview of the Opencare Case Study

Opencare saves over 100 hours of recruiting time with Ribbon

Opencare, a Toronto-based healthcare marketplace, faced a significant challenge in scaling its recruiting process. As a small but ambitious organization, its sole talent leader, Cathy Lefebvre, was spending her entire day conducting up to sixteen back-to-back screening calls, leaving no time for strategic sourcing. The company needed a way to maintain its high hiring bar and human touch while freeing up valuable recruiter hours. They turned to Ribbon's conversational AI to automate the candidate screening process.

By implementing Ribbon's two-way conversational AI interviewer, Opencare automated its initial screening calls. The solution delivered a flexible, human-like experience for candidates and provided instant transcripts, summaries, and scores for the recruiting team. As a result, Ribbon helped Opencare save over 100 hours of recruiter time, conduct more than 200 interviews, and allow the team to focus on strategic sourcing and building relationships, all while maintaining a positive candidate experience.


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