With the EU AI Act, recruitment leaders must reassess their AI software providers to ensure they meet new compliance standards, transparency requirements, and risk management protocols.

In the recruitment process, you'll always find a mix of structured, unstructured, and semi-structured data. Understanding each data type enables you to automate the process and enforce data hygiene in your ATS.

The rapid adoption of AI in recruitment is sparking a lot of debate, creating friction between the different stakeholders and leaving them wondering: Will AI replace recruiters entirely?

‍

Most recruitment tools are built around processes and neglect the recruiter experience. We believe it's time to change this and create a recruiter-centric reality, where AI assistants work alongside human recruiters in perfect synergy.

If your recruiters are being stretched too thin, you can decrease their workload and increase efficiency with the help of AI.

Where does AI fit in the modern recruitment tech stack? Can you integrate AI into your infrastructure without a complete overhaul?

If you want to adopt AI in your recruitment process but you're not sure where to start, this framework will provide you with a structured approach for a staged roll-out.

Here are the key challenges recruitment agencies need to address for successful adoption of AI in recruitment.

This article looks at emerging trends that are challenging established norms, redefining talent recruitment and workforce management in 2024.

Imagine a world where AI doesn't just streamline recruitment, but takes the wheel entirely. This is the promise of autonomous recruitment, where intelligent AI agents and automation algorithms not only identify the best candidates but also handle all the administrative heavy lifting, up to the hiring decision.