Bullhorn keeps getting more powerful. Are you keeping pace, or getting left behind?
I've spent a long time watching what Bullhorn can do. First, through building their Customer Success function, and now as a Bullhorn partner that helps firms navigate what is an increasingly powerful and complex system. The pace of what it's capable of now would have been hard to imagine even a few years ago.
The gap between firms keeping up with change and everyone else
Agencies using AI at any stage of the recruitment process are 3.5 to 4.5 times more likely to have grown revenue, according to Bullhorn's 2026 GRID Industry Trends Report. Firms using AI and automation inside their ATS report:
36% more placements from automation alone
51% more candidate submissions from AI search and match
22% better fill rates
Up to 17 hours saved per recruiter per week
That's the difference between a desk running on how the system has always been used and a desk running on what the system can do now.
While Bullhorn grows, the day-to-day doesn't leave room to catch up
Configuration, workflow automation, integration troubleshooting, data hygiene, reporting, user training, staying current on every new release... Capturing all of that capability takes real, ongoing attention, and when capacity is stretched it's easy to see how things start to slip.
The demand for that attention isn't steady from one week to the next. Some weeks call for a full system audit and a rebuild of your onboarding workflow, or getting a new AI-powered feature properly configured for how your desk actually runs. Other weeks it's a handful of tickets, a training refresh, and keeping an eye on adoption.
Whoever's carrying that workload, whether it's one person's whole job or a slice of several people's time, ends up prioritizing whatever's in front of them that day, and the deeper configuration work that would unlock the platform's newer capability is usually what waits.
That kind of uneven demand is the same reason plenty of other specialized functions have moved toward a flexible staffing model already.
A faster way to measurable impact
‘Fractional’ used to read as a stopgap, something a company did between full-time hires. That's not how the market treats it anymore. The fractional executive space grew from an estimated 60,000 professionals in 2022 to 120,000 in 2024, a 57% increase in two years, and Gartner expects more than 30% of midsize enterprises to have at least one fractional executive on retainer by 2027.
Companies aren't choosing fractional because it's cheaper and leaving it there. They're choosing it because of what it actually delivers: research on the model points to meaningfully faster time to measurable impact than a full-time hire typically reaches in their first months, alongside lower total cost than carrying the equivalent role in-house. You get deep expertise in the specific problem you're trying to solve, built from having solved it elsewhere already, applied at the moments you actually need it, rather than a single salary trying to cover every kind of week at once.
None of that is unique to the C-suite. It's a staffing problem with a staffing answer: bring in expertise sized to the shape of the demand, alongside whoever already knows your desk, rather than expecting one hire to be the whole answer by themselves.
More time for the work only your team can do
The best people I know doing this work, whatever their title, aren't threatened by this idea. They know their own limits: the reporting request that's been sitting in the backlog for two months, the workflow rebuild they've wanted to get to since Q1, the new Bullhorn release they haven't had time to properly learn.
Bringing in dedicated Bullhorn expertise isn't about replacing that person, or taking over from whichever ops leader has been holding it together alongside their real job. It's about giving them backup from people who've configured Bullhorn for other agencies already, so they can stay focused on what only they can do, the daily recruiter relationships and firm-specific judgment calls.
There's another reason this split matters. Often, a lot of what makes a Bullhorn instance work well for a specific desk, the exact field logic, the workaround built for one client's onboarding requirement, isn’t documented. This is a disaster for continuity. Research on turnover-driven knowledge loss backs this up more broadly: organizations lose an average of 42% of project-specific knowledge once annual turnover exceeds 20% a year, and replacing a single technical specialist can cost as much as 213% of their salary once the productivity gap is counted.
A team with deep Bullhorn expertise working alongside them means that knowledge gets documented and shared as a normal part of the engagement, not left to be reconstructed under pressure later.
What to do next
Every new Bullhorn release is another round of configuration and tuning to get right, and getting the full value out of it takes current, hands-on Bullhorn expertise, brought in alongside whoever's already carrying the platform.
The firms pulling ahead aren't spending more on headcount. They're getting dedicated, hands-on Bullhorn expertise into the mix at the right moments, instead of expecting whoever already owns the platform to absorb every bit of that new capability on top of everything else on their plate.
A few questions worth asking, whether Bullhorn sits with a dedicated admin, a Head of Ops, or someone wearing several hats at once:
Is that person spending most of their time on deep configuration and reporting, or on the daily fires that always come first?
If they were out for a month, how much of your setup is documented anywhere else?
Is your firm keeping pace with what Bullhorn's newer AI-driven capability can do, or running on how the system has always been used?
Would they want backup on the backlog they haven't had time to get to?
That's the gap we close: a team of Bullhorn specialists who work alongside whoever owns the platform at your firm, sized to how your desk runs.
Contact us to explore how we can help you navigate Bullhorn.
