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← Case StudiesResume Extraction for Talent Acquisition
About the use case
Cambrex's talent acquisition team reviews a large volume of candidate resumes across roles and sites. Extracting and organizing key information from unstructured PDF resumes into a consistent, structured format for downstream systems was a manual, time-consuming process that the team needed to scale.
The challenge
Resume review was slow and inconsistent — high volume with no structured extraction process.
Unstructured data in PDF format
Resumes arrived as PDFs with varying layouts, formats, and levels of detail — making it difficult to extract information consistently or at speed.
Manual data entry into downstream systems
Recruiters spent significant time manually reading resumes and populating structured fields in downstream systems — work that added no strategic value.
Inconsistent candidate data quality
Without a standardized extraction process, the quality and completeness of structured candidate data varied across recruiters and roles.
How Ejento AI solved it
A Talent Acquisition Assistant built on Ejento AI that extracts key information and notes from PDF resumes and outputs structured data ready for population into downstream systems.
PDF resume ingestion
Recruiters upload candidate resumes directly. The assistant reads and interprets unstructured PDF content regardless of layout or format.
Structured data extraction
Key fields — experience, qualifications, skills, education, and recruiter-relevant notes — are extracted and organized into a consistent structured format.
Ready for downstream population
Output is formatted for direct use in downstream systems, eliminating the manual transcription step between resume review and data entry.
VPC-native — candidate data stays internal
All processing happens inside Cambrex's Azure environment. Candidate data never leaves the organization's perimeter.
The outcome
Manual transcription eliminated
Recruiters no longer manually extract and enter resume data — the assistant handles extraction end to end.
Consistent structured candidate records
Every resume produces a standardized output, making candidate comparison and downstream data population reliable and repeatable.
Faster time-to-review
Resume processing that previously occupied recruiter time now completes in a fraction of the time, freeing the team for higher-value hiring work.
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