Talent Gateway - AI-supported preprocessing of incoming applications before the ATS

Talent Gateway automates the preprocessing of incoming applications: documents and forms are extracted, structured and prepared for more efficient screening in the ATS.

Problem: Too much manual screening, too little structured data

Applications arrive from different sources, in different formats and often incomplete. Recruiting teams need to maintain data manually, request missing files and compare profiles by hand.

Talent Gateway report

Solution: Three levers for automated preselection before the ATS

Talent Gateway acts as an upstream processing layer and creates a reliable decision basis before manual screening starts.

Complete and structured data

  • Missing information or documents can be requested automatically before profiles enter the ATS.
  • Unstructured CVs and free-text fields are converted into a consistent data model.
  • This creates a more reliable data basis for screening and reporting.

Profiles in the right context

  • Education and experience data are not only extracted but also placed in a comparable context.
  • Relevant information is standardized, normalized and merged across different sources.
  • This makes applicant profiles more consistent and easier for recruiting teams to review.

Preselection with custom scoring

  • Applications pass through Talent Gateway before manual review starts.
  • Customer-specific scores and defined knockout criteria help prioritize incoming profiles.
  • case education score and experience score add further signals for a more informed preselection.

AI-supported automation with control and compliance

Talent Gateway combines automation with clear rules, documentable steps and human decision authority. The result is a structured process that reduces manual effort while remaining compatible with regulatory requirements.

Transparency

No black-box scoring

Documents can be structured with AI support. Scoring itself follows clear deterministic criteria, making results understandable and reproducible.

Data sovereignty

Customer data stays under control

Customer data is not used for model training. The technical setup follows European hosting and governance requirements.

Regulation

Prepared for high-risk AI requirements

Risk management, testing, documentation and bias mitigation are considered as core requirements so teams can address regulatory developments in a structured way.

More automation. More focus on the right talent.

In a demo, we show how Talent Gateway structures incoming applications and hands them over prepared for recruiting.

Talent Gateway | candidate select GmbH