UNTAPT CASE STUDY - 2 Reducing "False Positives" in Candidate Searches MAR 2019 // PREPARED BY DR JON KROHNUNTAPT AI PAGE | 02 PROBLEM A global recruitment agency mines a large database of candidates against thousands of open opportunities that they work each year. Their search identifies excessive “false positives”, misses high quality candidates, wasting revenue opportunity and time. REQUIREMENT The client wanted a way to reduce the time wasted by its recruitment teams scanning through resumes that were not suitable for the given requisition and have an algorithm to automate this process. The client had a vision to run a tech lead recruitment business where much of the manual process of sourcing and matching candidates is removed. The idea is to free up resource to focus on building

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