Compare
In-house AI screening vs an outsourced screening team
Both remove the reading from your consultants. The difference is turnaround, and where the judgement ends up living.
How an outsourced or offshore screening team works
The pile goes to a team — offshore, RPO, or a resourcing function in another office — who read it and return a shortlist, usually overnight. It is the established way agencies buy their way out of screening volume, and for a lot of them it works.
Where the other option wins
Reasons not to switch.
These are real, and they are first because a comparison that cannot name them is not a comparison.
They are people
They read career shape, spot the odd employer, notice the thing that is strange about a CV. On senior and unusual roles that judgement is worth more than throughput.
They do the surrounding work too
Availability calls, right-to-work chasing, formatting, reference gathering. Screening is one part of what a resourcing team actually absorbs, and software only replaces that one part.
They learn your desk
A team that has worked your roles for a year knows your clients' unwritten preferences. That knowledge is real and takes time to rebuild anywhere else.
Where HireOS wins
What the software does that the alternative cannot.
Turnaround is minutes, not overnight
On contingency roles the shortlist that exists this afternoon beats the better one that exists tomorrow, because the placement goes to whoever submitted first.
Cost does not scale with volume
A team's cost rises with the pile. A monthly price does not, so the two hundredth CV in a month costs the same as the second.
The standard is inspectable
You can read the rubric and see the evidence for every score. With a team, the standard lives in people's heads, and you find out it drifted when a client complains.
The pool stays yours
Every CV screened lands in your own database and is matched against future roles. Work sent out and shortlisted back does not accumulate into anything.
Side by side
Six things that actually differ.
| An outsourced or offshore screening team | HireOS | |
|---|---|---|
| Turnaround | Usually overnight | Minutes |
| Cost at 500 CVs/month | Rises with volume | Flat |
| Senior and unusual roles | Stronger | Weaker |
| Surrounding admin | Included | Not covered |
| Consistency | Depends who read it | One rubric per role |
| Where the pool ends up | Wherever they work | Your database |
The honest answer
They are not mutually exclusive, and the agencies that get the most out of both use screening to order the pile and their team to work the top of it. If you are choosing one: high-volume contingency favours screening, senior and search work favours the team.
AI screening vs reading every CV yourself
The default, and for a small pile still the best option. The question is where the line sits.
Purpose-built screening vs pasting CVs into a chatbot
It works. That is the awkward part — it works well enough that a lot of desks are quietly doing it, and the reasons not to are not about output quality.
The offer
Test it against what you do now.
A seven-day trial on one of your live roles. Run it beside your current process and compare the two shortlists — that is the only comparison that settles it.
- 1Twenty minutesYou bring one live role. We look at it together — no deck, no discovery questionnaire.
- 2Set up on the callYour job description becomes a rubric while you watch, and your own CVs go through it.
- 3Then 7 days aloneYou run it on real work and judge it on the shortlist, not on anything we said.