What Is The Candidly Way?

Construction has always hired differently. Roles are urgent, often site-specific, and time-sensitive in a way that office hiring rarely is. A delayed hire isn't just an inconvenience — it's a delayed project, a cost overrun, a frustrated client.

Which is why the numbers we found surprised even us.

The baseline problem

Before AI screening, the average time-to-hire across our construction partner platforms was 47 days. That's from job posted to offer accepted. For a sector where a scaffolding team might be needed to start Monday, 47 days isn't just slow — it's effectively broken.

The bottleneck wasn't sourcing. Construction platforms typically attract strong application volumes. The problem was everything that happened next: manually sifting through hundreds of applicants, chasing qualifications, trying to identify who actually had the right CSCS card, the right experience, and the right availability — all at once.

Recruiters weren't spending their time recruiting. They were spending it screening.

What changed

Over six months, we tracked 50,000 applications across 14 partner platforms that had enabled Candidly's AI-assisted screening. The results were consistent enough that the pattern is hard to ignore.

Time-to-hire dropped from 47 days to 15.

That's a 68% reduction. Not across a handful of roles — across tens of thousands of applications, spanning groundworkers, site managers, quantity surveyors, and everything in between.

The mechanics aren't complicated. AI screening works by evaluating applicants against structured criteria the moment they apply — qualifications, experience, availability, location — and surfacing a ranked shortlist for the hiring team to act on. No inbox of 300 CVs to work through. No chasing people who were never going to be right.

What used to take a recruiter three days now takes three minutes.

Where construction is different

One thing the data made clear: construction hiring has specific complexity that generic ATS tools weren't built for.

Compliance matters enormously. A candidate without the right safety certifications isn't just a weak hire — they're a liability. AI screening that understands sector-specific requirements (CSCS, SMSTS, NEBOSH and so on) filters this out automatically, before a human ever gets involved.

Location and mobilisation matter in ways they don't in other sectors. A great candidate who can't reach a site in Basildon on Monday isn't a great candidate for that role. Screening logic that accounts for geography and start date availability removes a huge source of wasted time.

And volume is relentless. Large construction platforms can receive hundreds of applications for a single labourer role. Without automation at the top of the funnel, recruiters simply can't keep up — and response times suffer, candidates ghost, and the best people accept offers elsewhere.

The knock-on effects

Time-to-hire is the headline number, but it's not the only one that moved.

Across the same dataset, platforms using AI screening saw:

• Candidate response rates up 41% — faster shortlisting meant faster outreach, at a point when candidates were still engaged
• Offer acceptance rates up 23% — better-matched candidates meant fewer offers falling through
• Recruiter time on admin down 60% — freeing teams to focus on relationships, not spreadsheets

For platforms embedding Candidly's ATS, these aren't abstract improvements. They translate directly into happier customers, lower churn, and stronger retention.

What this means for platforms serving construction

If you're running an HR tech platform, a workforce management tool, or any product that touches construction hiring, the expectation gap is widening.

Your customers have seen what fast looks like. They know 47-day hiring cycles aren't inevitable. And if your platform isn't offering them a meaningfully better path to hire, they'll find one that does.

AI screening isn't a feature for the future. For construction, it's table stakes right now.