An AI agent reads every CV, scores each candidate against the approved criteria, and prepares the shortlist, with a recruiter signing off every step.
The application and CV land in the system your team already uses, such as JobAdder. The workflow starts on its own, day or night.
It reads the actual CV, work history, and screening answers, then assesses the candidate against the criteria approved for that specific role.
The agent produces an explainable match score for that job, with the criteria and evidence attached, and recommends who is worth a phone screen.
Nothing happens without sign-off. Ask @Briicky, the AI Chief of Staff, how a role is tracking, and approve the recommended candidates by voice or text.
Leads slip through while your team is busy
Applications pile up faster than the team can read them
Strong candidates go cold while their CV waits in the queue
Every new role starts from a blank candidate search
The same candidate gets assessed from scratch each time
What the team learns about a candidate lives in an inbox
Every lead gets a response in minutes, automatically
Every application is read and scored the day it lands
Strong candidates surface fast, with the reasoning attached
New roles start by searching candidates you already know
Each candidate's history follows them from role to role
One growing record holds everything the agency knows
Link JobAdder or your current system so the agent works from your live candidate and job data. No re-keying, and no separate database to maintain.
Define the approved criteria for each role and the moments where a recruiter signs off, such as before screening and before a shortlist goes out.
Confirm how candidates are scored and what the screening calls cover, so the agent works the way your agency already works.
The agent screens, scores, and keeps the useful data, so your candidate and client views grow more useful the longer it runs.
Answers to the questions we hear most.
The agent works from the ATS your team already uses. Applications and CVs that land in JobAdder, or your current system, start the workflow, and the results, scores, notes, and shortlist, are written back to the candidate's record. Your data stays in the system you run, and the agent works on top of it.
Each candidate is scored against the requirements of a specific role, so the same person can score differently for different jobs. The score is explainable, with the criteria and evidence attached, and it updates: a first score from the CV and application, then a fuller score after the screening call.
No. The agent reads, scores, and recommends; a recruiter approves every important step, including which candidates to phone screen and which shortlist goes to the client. Human judgement stays in control throughout.
Yes. It reads the full CV and the screening answers, scores the candidate against the role, and, once a recruiter approves, runs the screening calls and re-scores each candidate using the call evidence. For the wider strategy behind this, see how recruitment agencies can use AI.