Keeping human judgment in AI-assisted hiring
AI tools now support much of the hiring process. The decisions that matter most still need experienced people. Where to draw the line, and how to keep it.
AI tools now support much of the hiring process. The decisions that matter most still need experienced people. Where to draw the line, and how to keep it.
Polished CVs and cover letters are now easy to produce with AI tools. When every application looks good on paper, screening has to look for different signals.
Many job descriptions are long lists of requirements and generic promises. A clear, honest description attracts better candidates and saves time for everyone.
AI tools promise faster, smarter candidate screening. They can help, but they also bring new risks around bias, transparency and over-reliance. A balanced look.
Automated CV screening helps teams handle volume, but rigid keyword filters can quietly reject the engineers you most want to meet. Here is why, and what to do about it.
Good hiring starts long before the first CV arrives. This is how we approach recruiting IT specialists, step by step, and why we prefer fewer, better candidates.
I’m sure you have read that IT professionals are defined by letters. Some examples: “I” shaped professional – Has a specific skill “T” shaped professional – Excels in a specific …
