Comparison · Recruitment & HR
AI recruiting vs traditional agency
An AI agent that screens and reaches out at scale, or an external recruiting agency. What works for who is hiring.
In brief
For high candidate volumes and recurring roles, an AI agent wins on speed and cost per hire: it screens and makes first contact in seconds, 24/7. For senior, executive or rare roles, a traditional agency brings network, human judgment and negotiation the AI can't replicate. Many companies use both: AI covers volume and first filter, the agency the few critical roles.
Option A
AI recruiting agents
A custom AI agent handles CV screening, job description parsing, candidate outreach at scale and pre-qualification, integrated into your ATS.
Pros
- +Screening and first contact in seconds, not days: with Stars Be Original, candidate response in under 1 minute
- +Scales across large volumes at near-zero marginal cost: the APraise agent handles 100k+ candidates, equal to 4 extra recruiters
- +Predictable sprint cost, not a fee per hire
- +24/7 coverage, no candidate left in a queue
- +Data and an audit trail on every decision, useful for GDPR and the AI Act
Cons
- −You need an already-defined hiring process to put inside the agent
- −For rare or executive roles, human network and judgment outweigh automation
- −Requires an HR owner to follow the project and validate the criteria
- −Upfront build cost (Assessment ~2,000 euro, Sprint 10-50k) before the payback
Best for
- Companies with high volumes and recurring roles (retail, hospitality, contact centers)
- HR teams that want to free time from manual screening
- Those hiring continuously who want a predictable cost per hire
Option B
Traditional recruiting agency
An external agency runs the search, selection and presentation of candidates, usually with a fee tied to the hire.
Pros
- +Network of contacts and access to passive candidates not on job boards
- +Human judgment on soft skills, cultural fit and senior/executive roles
- +No technical setup: you start immediately
- +Negotiation and candidate relationship management up to the offer
Cons
- −High cost per hire (often 15-25% of salary) and hard to predict at volume
- −Slower on high volumes, every application goes through people
- −Quality depends on the individual recruiter assigned
- −Know-how and pipeline stay outside the company, no asset remains
Best for
- Senior, executive or rare profiles that need headhunting
- Companies that hire rarely and occasionally
- Those without a structured internal hiring process
| Criterion | AI recruiting agents | Traditional recruiting agency |
|---|---|---|
| Candidate response time | Seconds (<1 min in real cases) | Days, manual handling |
| Volume scalability | High, near-zero marginal cost | Limited by number of recruiters |
| Cost model | One-off sprint + optional retainer | Fee per hire (15-25% of salary) |
| Senior/executive roles | Weak without human network | Strong (headhunting, negotiation) |
| Asset that stays in-house | Agent and client data from day one | None, external know-how |
The verdict
It's not one or the other. If you hire at volume on recurring roles, an AI agent does screening and first contact better and at a predictable cost: you see it in the APraise (100k+ candidates) and Stars Be Original (under 1 minute response) cases. If the role is senior, rare or needs fine negotiation, a traditional agency brings network and judgment the AI can't replicate today. The most effective setup for many SMEs is hybrid: the agent covers volume and first filter, the agency the few truly critical roles. The right question is 'which roles am I hiring', not 'AI or human'.
FAQ
What people usually ask us.
Does an AI agent replace recruiters?
How much does an AI agent cost versus an agency?
What about executive or very rare roles?
What if the agent doesn't deliver the promised result?
Not sure which one fits your case?
20 minutes with the CEO to work out the right choice for your processes. No pitch, no obligation.
