Every day, strong candidates are ghosted or rejected because something on their application looked unclear, and nobody asked. In this HR Tech Lab webinar we borrow one simple habit from the software world and apply it to hiring: Harness.

Coding with AI has moved fast. First came autocomplete, then prompt engineering, where the trick was asking in the right way. Then context engineering, giving the AI the right background to work from. Now we have the harness, and it has improved AI-assisted coding by miles.

A harness is the system that works around the AI while it does a job. Instead of producing one answer and stopping, the AI now checks its own work, spots what is missing, asks or corrects, and only then finalises. It does not quietly ship a mistake. It catches the doubt and resolves it first.

We will show it live, on a real candidate evaluation tool, and prove how it cuts ghosting and reduces bias at the same time. 1 hour, live, with Q&A.

Three things, explained in plain terms and shown live.

Evaluating candidates fairly. What it looks like to judge every applicant against the same clear criteria, so decisions rest on evidence rather than gut feel or whoever happened to read the CV that day.

Why candidates get ghosted, and how to stop it. Most ghosting is not rudeness. It happens because the process has no step for "we are not sure yet". We show what that missing step looks like and how a single, specific question recovers people you would otherwise lose.

Reducing bias without slowing down. When everyone is asked the same questions about the same gaps, a lot of the inconsistency that lets bias creep in simply disappears. Fairer and faster at the same time.

This is not a slides-only session. We will run a candidate evaluation tool live and improve it in front of you, one step at a time.

You will watch the same group of candidates go from being silently rejected on a small gap, to being asked a simple clarifying question, to being assessed fairly on what they actually said. The number of good candidates recovered, rather than lost, tells the whole story.

Why strong candidates get ghosted, and the one change that stops it

A simple way to evaluate every candidate against the same clear criteria

How asking one good question recovers people you would otherwise reject

How consistency reduces bias without making hiring any slower

Talent acquisition and recruitment leaders, HR and people teams, hiring managers, and anyone building or buying HR technology. No technical background needed.

What HR Tech Can Learn from Harness