We built hiring software. Then our customers asked us to do it for them

The Problem We Actually Discovered

When we started digging into why our customers were struggling, the pattern was consistent across company sizes, industries, and maturity levels.

It wasn’t the technology. It was the gap between having technology and having the expertise to make it work.

Think about it this way. An ATS can collect 250 applications for a single role—that’s the average, according to industry data. It can parse resumes, rank keywords, and surface candidates who match on paper. But it can’t tell you whether a candidate’s experience is real or AI-fabricated. It can’t assess cultural fit. It can’t build a sourcing strategy when your job posting isn’t attracting the right people in the first place.

And here’s the part that nobody wants to admit: most internal HR teams are stretched too thin to do these things well either. According to GoodTime, 27% of talent acquisition leaders report that their teams face unmanageable workloads—up from 20% the previous year. When recruiters are spending 35% of their time just on interview scheduling, there’s not much bandwidth left for strategic hiring.

The companies that were thriving with our platform weren’t just using the software. They had someone, internally or through us, who understood the entire hiring equation: sourcing strategy, candidate engagement, screening methodology, and hiring manager alignment. The software amplified their efforts. But the human expertise drove the outcomes.

That’s when the lightbulb went on.

Why We Started Doing the Hiring, Not Just Building the Tools

Once we understood the problem, the solution was almost obvious. Stop selling software and hoping customers figure it out. Start combining our technology with the people who know how to use it—and deliver the result, not just the tool.

Here’s what that looks like in practice:

Our technology handles the screening and verification layer. AI-powered candidate matching. Credential verification. Skills assessment. Resume authenticity checks. The things software does better and faster than any human.

Our people handle the strategy and execution layer. Sourcing plans tailored to each role. Candidate outreach and engagement. Interview coordination. Hiring manager coaching. The things that require judgment, relationships, and expertise that no ATS can replicate.

The math also works differently than a traditional recruiting agency. Most contingency recruiters charge 15–25% of a hire’s first-year salary. For a $60,000 role, that’s $9,000–$15,000 per hire—and there’s no guarantee the hire will last. Our model operates at roughly 4% per hire, because the technology does the heavy lifting that agencies charge premium rates for.

But the economics are secondary. The real difference is transparency. With a traditional recruiter, you get a stack of resumes and a bill. With our model, you see exactly how candidates were sourced, why they were recommended, and how they scored across verified criteria. You’re not trusting someone’s gut. You’re trusting data—and you can see the data.

Why This Matters More in 2026 Than It Did Five Years Ago

The hiring landscape has fundamentally shifted, and most companies are still using tools and processes designed for a different era.

Five years ago, the challenge was efficiency—how do we process applications faster? Today, the challenge is signal—how do we tell who’s real, who’s qualified, and who will succeed in this role?

The U.S. Department of Labor estimates that a bad hire costs at least 30% of the employee’s first-year earnings. SHRM research puts the replacement cost at 50–200% of annual salary, depending on the role. For a mid-level position paying $60,000, you’re looking at $18,000 to $120,000 in total replacement costs. And the average cost-per-hire—just the recruitment process itself—sits at approximately $4,700, according to SHRM benchmarking data.

These aren’t theoretical numbers. They’re what companies pay when the hiring process doesn’t work.

The irony is that companies have more technology than ever—and they’re still not getting it right. According to a Breezy HR study, 56% of employers cited “not enough qualified candidates” as their biggest recruitment challenge in 2024. Meanwhile, 44% of job applicants admitted to lying during the hiring process, per a Resume Builder survey. AI-generated resumes look polished and professional, but as Greenhouse CEO Daniel Chait put it to Fortune, the result is that employers “can’t really tell which ones they should pay attention to.”

This is why technology alone isn’t enough. You need people who can see past the polish. People who understand that a keyword match isn’t a qualification. People who can build a hiring process that’s resistant to the noise—not amplified by it.

What Being on Both Sides Taught Us

Building hiring software gives you one perspective. Actually doing the hiring gives you another. Having both? That’s where the real insight lives.

Here’s what we’ve learned from being on both sides of the equation:

The best technology in the world can’t fix a bad job description. If you’re attracting the wrong candidates, no amount of AI screening will find the right ones. Strategy has to come before software.

Speed and quality aren’t enemies. Companies assume they have to choose—hire fast or hire well. The truth is that a well-designed process, powered by the right technology, can do both. The bottleneck is almost always process design, not candidate availability.

Hiring managers need a partner, not a portal. Giving a hiring manager access to an ATS dashboard is like giving someone a cockpit and expecting them to fly. They need someone who understands the instruments, can interpret the data, and can navigate the journey.

Data creates accountability, and accountability creates results. When every hiring decision is backed by verifiable data, everyone in the process gets better. Hiring managers make sharper decisions. Candidates are evaluated fairly. And you can finally start replicating what works instead of hoping for the best.

Not Everyone Needs Full RPO. But Almost Everyone Needs More Than Software.

Look—we’re not suggesting every company needs to outsource their entire hiring function. Some organizations have strong internal teams and the bandwidth to make technology work on its own.

But if you’re honest with yourself, and any of the following are true—roles are staying open too long, new hires are washing out, your team is overwhelmed by application volume, or you can’t explain why some hires succeed and others don’t—then you’re experiencing the gap we’re talking about.

The gap between having tools and having results.

We stumbled into this insight by accident. Our customers told us what they needed before we were smart enough to figure it out ourselves. Now it’s the core of what we do: combine predictive technology with hands-on recruiting expertise, at a fraction of what traditional agencies charge, with full transparency into the process and the data.

You don’t have to take our word for it. Let the data decide.