Making international research more efficient

Where can artificial intelligence genuinely improve a background check? Following the principles introduced in Part 1, Part 2 of our five-part series focuses on practical “Do’s” – activities where AI can support analysts and improve workflow efficiency.

Recognising name variations

One major opportunity is information processing. International background checks may involve multiple jurisdictions, languages, spelling conventions and information sources. AI-supported tools can help organise this complexity before an analyst begins detailed verification.

Name variation is a good example. Transliteration, special characters and different conventions for ordering names can affect search results. AI can generate plausible variants and support broader, more systematic research.

Processing multilingual information

Multilingual analysis is another useful application. Technology can assist with translation, summarisation and categorisation, enabling specialists to identify potentially relevant material more quickly. Where information matters to a decision, the original source should still be reviewed.

AI can also support entity matching. Does a name correspond with the right employer, location, professional history or other identifying information? Systems can highlight possible matches and inconsistencies, while a qualified reviewer determines whether the information actually concerns the individual being screened.

Entity matching and structured findings

Another valuable application is organising findings. Instead of presenting analysts with an unstructured mass of information, AI can help classify material into relevant categories, such as professional history, corporate affiliations or potential compliance-related findings.

This changes how professional time is used. Less effort is spent on repetitive searching and sorting, while more can be invested in verification, context and quality control.

Freeing specialists for better decisions

That is perhaps the strongest “Do” of AI: use technology to strengthen human analysis, not to replace human accountability.

Within human risk management, the same principle can support greater consistency. Organisations can define role and risk categories and use technology to help structure appropriate screening workflows.

Used well, AI therefore offers more than speed. It can contribute to structured and scalable screening – as long as source verification and professional review remain part of the process.

Combine AI efficiency with responsible background screening

Validato supports organisations with risk-based background checks and a structured approach to human risk management. Would you like to discuss reliable, proportionate and efficient screening processes? Contact Validato for an introductory conversation.

Coming in Part 3:

Our next article examines the No-Go’s: hallucinations, bias, mistaken identities and automated judgements about people.