Responsible Ai and Automation in recruitment

Matching job descriptions with applicants can be achieved in minutes. But with great power comes great responsibility. Data security matters as does avoiding conscious or unconscious bias, especially over protected characteristics.

Over the weekend I built a small demo showing how a Power Automate flow can compare a candidate’s CV with a job description in a structured, consistent way.
Using Anthropic’s AI models (via API), the flow:
🔹 Extracts key skills from both the CV and the job description
🔹 Fuzzy‑matches synonymous skills (e.g., “JavaScript” vs “java script”)
🔹 Generates a Gap Analysis showing:

demonstrated skills
implied/transferable skills
missing skills
🔹 Returns an explanation of why the score was reached — not just a number

All of this runs inside Microsoft’s Power Platform, so it’s fast to build, easy to extend, and fits naturally into recruitment workflows.

💡 Why I explored this
Recruitment involves huge volumes of information, and tools like this can help teams focus attention, shorten shortlisting time, and highlight strengths that might otherwise be missed.
But I also wanted to show how we can use AI responsibly.
This demo explicitly excludes protected characteristics (age, gender, ethnicity, disability, religion, sexual orientation).
It evaluates only skills, experience and competencies.
It’s transparent, explainable, and designed to support decision‑making — not replace it.

🧩 Why this matters
AI isn’t here to make hiring “automatic”.
But it can make it fairer, more consistent, and more efficient when used with care.
This was simply an experiment… but it’s one that shows what’s possible with the tools we already have today.

Видео Responsible Ai and Automation in recruitment канала Evangelist Tech