AI recruiting for nonprofits can help teams manage a mountain of applications, but a polished résumé still leaves one big question: can this person do the work? Dana Scurlock, Managing Director of Staffing Boutique, explores smarter screening, candidate transparency, and hiring practices that keep human judgment in the process.
Joining Julia C. Patrick and Sherry Quam Taylor, Dana considers a hiring puzzle that deserves a seat at your next leadership meeting: employers want candidates who can use AI, yet still need to understand what those candidates can contribute themselves.
That résumé might sparkle. The interview still has a job to do.
“AI is not a replacement for the human portion of recruiting and hiring, and it shouldn’t be looked at as such,” Dana begins.
She describes recruiting situations where a single job posting brings hundreds of résumés, making screening efficiency a real operational concern. Applicant tracking systems (ATS) help organize candidate information, and AI-assisted screening raises questions about keywords, access, and who advances.
For nonprofit hiring managers balancing recruitment with an already-full workload, the discussion connects technology choices to staff capacity, candidate experience, and the quality of hiring decisions.
The conversation also moves beyond résumé screening into AI interviews and hiring assessments. If candidates will use AI on the job, how should that affect the assignments used to evaluate them? What should employers disclose and what should applicants explain about their own AI use?
Discover why even relationship-centered fundraising roles increasingly involve technology, how résumé optimization can signal a willingness to learn, and why impressive presentation deserves a closer look at actual capability.
Dana’s recommendation for nonprofit leaders: develop employee guidelines that explain where AI belongs, where human judgment matters, and what your organization expects.
Key Takeaways:
– Use AI to support screening while retaining human evaluation.
– Assess demonstrated ability beyond résumé polish and keywords.
– Disclose when candidates are interacting with AI.
– Set clear AI-use expectations before hiring assessments.
– Define organizational boundaries for AI in employee guidelines.