Compare
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.
How a general-purpose ai assistant works
The recruiter opens a general AI assistant, pastes in the job description and a batch of CVs, and asks for a ranking. The answer is often good. On a single role, on one afternoon, it is genuinely a reasonable thing to do.
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.
It costs nothing to try
No procurement, no trial, no setup. If you want to know whether a model can rank CVs at all, this answers it in ten minutes.
It is completely flexible
It will do things no screening product does, because you can ask it anything. For one-off, odd-shaped questions that is a real advantage.
Where HireOS wins
What the software does that the alternative cannot.
Nothing is recorded
A chat window is not a record. When a candidate asks why they were rejected, the answer is in a conversation that has scrolled away, tied to no role and no rubric, with no date on it.
The standard changes every time you ask
Prompts drift. The same pile, phrased slightly differently on Friday, produces a different order — and there is no artefact anywhere that says what the standard was supposed to be.
Pasting CVs is a data transfer nobody approved
Candidate personal data, into a consumer tool, outside your processing agreements. You are the controller. This is the objection your compliance lead will raise, and they are right to.
It does not join up
The ranking cannot see your talent pool, does not update the role, does not feed your outreach, and disappears when the tab closes. It answers one question and leaves.
Side by side
Six things that actually differ.
| A general-purpose AI assistant | HireOS | |
|---|---|---|
| Quality on one role | Often good | Comparable |
| The same standard next week | Whatever you typed | The rubric on the role |
| Record of the decision | A chat log, if that | Recorded against the candidate |
| Candidate data handling | Outside your agreements | Processor, under a DPA |
| Reaches your talent pool | No | Yes |
| Cost | Near zero | A monthly price |
The honest answer
If you are testing whether AI can read a CV, use the chatbot — it will tell you, today, for free. It stops being the right answer the moment a second person is involved, or the first time somebody asks you to justify a rejection.
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.
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.
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.