Hire without losing track of candidates
Applications arrive by email, feedback lives in separate inboxes and good candidates go cold because nobody replied in time.
Tools worth considering
BambooHR
HR system of record for small and mid-sized companies, covering employee data, onboarding, time off and performance, with payroll and benefits as add-ons.
No free plan; Core $10 per employee/mo, Pro $17, Elite $25. Companies with 25 or fewer employees pay a flat rate starting at $250/mo. Payroll, benefits administration, time and attendance and global employment are add-ons, with a 15% bundle discount
Workable
Recruiting platform with job board distribution, a careers page builder, candidate sourcing from a large profile database and an AI screening agent.
No free plan; 15-day trial with the complete Standard feature set, no credit card. Standard $299/mo, Premier $599/mo, Enterprise $719/mo billed monthly, all with unlimited active jobs subject to fair usage. Assessments are a $59/mo add-on on Standard and included from Premier; the Workable Agent adds 3,000 free AI credits on a pay-per-action model
The problem
Hiring without a system fails in a predictable way. Applications land in an inbox alongside everything else, so some are read late and some not at all. Three colleagues interview the same person and their impressions live in three places. A strong candidate waits eight days for a reply and takes another offer, and nobody notices until the role is still open a month later.
The quieter failure is comparison. Without a shared standard, each interviewer evaluates against their own idea of the role, so the decision comes down to who argued most convincingly rather than who fits. That produces hires that surprise people later, in both directions.
And when the role reopens a year on, none of it is reusable: the job text, the candidates who were good but not chosen, the questions that worked.
What AI can actually do here
Structure first, intelligence second.
An applicant tracking system gives every candidate a stage, an owner and a shared record. Interview kits and scorecards mean everyone evaluates against the same criteria, which is the single change that most improves hiring quality. Distribution posts a role to many job boards at once, and a careers page routes applications into the system rather than an inbox. Self-scheduled interviews remove the back-and-forth that adds days.
The AI layer sources candidates from large profile databases and screens or qualifies applicants automatically. This is where care is needed. Automated screening decides who gets seen by a human, and it inherits whatever bias sits in its inputs. Under the EU AI Act, AI used in recruitment and candidate selection falls into the high-risk category, which brings obligations including human oversight. Treat automated rejection as something you review rather than trust, and keep a person accountable for the outcome.
How the tools differ
Workable is the recruiting engine: distribution to more than 200 job boards, a careers page builder, sourcing against more than 400 million profiles, an applicant tracking system, interview kits and scorecards, and an AI agent priced per action. Standard is $299 per month with unlimited active jobs subject to fair usage, with a 15-day trial and no credit card. It is built for companies always hiring.
BambooHR includes onboarding and an applicant tracking system as part of a wider HR system of record, from Core at $10 per employee per month, with a flat rate starting at $250 per month for companies of 25 or fewer employees. It suits companies whose hiring is occasional but whose employee records need a home anyway.
The question is which problem is bigger. Constant hiring points to Workable. Hiring twice a year plus messy HR admin points to BambooHR, where recruiting is one part of the system.
When you don't need a tool
If you hire once or twice a year, a shared spreadsheet with a column per stage and a rule that every applicant gets a reply within five days will beat most software, because you will actually maintain it for the six weeks it is live.
If your problem is that nobody applies, an applicant tracking system organizes an empty pipeline. That is a positioning and reach problem: where the role is posted, what it pays, and how the company reads from outside.
And before buying anything, write the scorecard. Deciding what good looks like before you meet anyone is free, takes an hour, and improves hiring more than any tool in this category.
Get advice for your situation
Your AI consultant
Free · no signup · advice first
An example
Your turn
Or start with a question people ask about this:
By chatting you agree to our terms.
Frequently asked questions
Are AI screening tools allowed in the EU?
They are, with conditions. The EU AI Act classifies AI used for recruitment and candidate selection as high-risk, which brings requirements including human oversight, transparency and record-keeping. Practically, that means a person stays accountable for rejections, you can explain how candidates are assessed, and you review what the system filters out.
Is an applicant tracking system worth it for a small company?
It depends on frequency, not headcount. At $299 per month, Workable makes sense if you always have a role open, and it is expensive per hire if you recruit twice a year. Companies in the second group often get more from an HR system that includes basic tracking, such as BambooHR, than from a dedicated recruiting platform.
How do we stop candidates going cold?
Set a service level and let the system enforce it: every applicant hears back within a fixed number of days, and interviews are self-scheduled so arranging them costs no emails. Most lost candidates are not lost to a better offer, they are lost to silence during the week nobody had time.
What happens to candidate data under GDPR?
Applicants are data subjects, so you need a lawful basis, a retention period and a way to honour deletion requests. Decide up front how long you keep unsuccessful applications and say so in the job posting. Keeping a talent pool indefinitely without telling people is the common mistake in this category.