CV parsing and data entry
CV details are typed into the ATS by hand.
CVs are read and candidate records are created or updated in your ATS, with duplicates caught. See document processing automation.
AI Automation for Recruitment Agencies
CVs to log, candidates to screen, interviews to schedule, clients to update and timesheets to chase. We automate the admin around every placement, built around the ATS, email and tools your agency already uses. No new recruitment software to learn.
Built for recruitment agencies of 10–100 people. Hiring decisions always stay with people.
Application to shortlist, automated
Anything unusual goes to your team to review first.
Most agencies we talk to have consultants spending hours every day on:
Every hour here is an hour not spent talking to candidates and clients. That's the work automation in recruitment should give back.
CV details are typed into the ATS by hand.
CVs are read and candidate records are created or updated in your ATS, with duplicates caught. See document processing automation.
Consultants read every application to build a shortlist.
Applications are compared against the role's must-haves and summarized for a recruiter, who decides who to call. AI suggests; it doesn't reject candidates.
Times are agreed by email between candidates, clients and consultants.
Candidates and clients pick from available slots, calendars update, and reminders and confirmations go out automatically.
Each client gets individual update emails about each role.
Pipeline changes in your ATS become clear, regular updates for each client, drafted for the consultant to send.
Documents and references are requested and tracked by hand.
Requests go out automatically, uploads are checked for completeness, reminders follow up, and the candidate record updates itself.
Timesheets are chased, checked and keyed into invoices.
Timesheets are collected and checked against the placement, and invoices are prepared in your accounting system for approval.
Every agency runs these differently, by sector and client. We map your version before building anything.
BeforeCVs are retyped into the ATS
AfterCVs become candidate records automatically
BeforeEvery application is read in full
AfterRecruiters start from a summarized shortlist
BeforeInterviews take days of emails
AfterCandidates and clients book from available slots
BeforeClients chase for updates
AfterClients get regular updates your team has approved
BeforeTimesheets are chased every week
AfterTimesheets are collected and checked automatically
Automation reads, sorts and schedules. Who gets shortlisted, interviewed or placed is always decided by your recruiters and your clients, and you decide where the review points sit.
When the AI isn't confident, or the stakes are high, the item goes to a person to check before anything is posted.
We add validation checks (totals, formats, duplicates, matching against your records) on top of the AI.
Every automated action is logged: what came in, what was extracted, what changed, and who approved it.
We sign an NDA before we see your data, access is limited to what the automation needs, and we never use your data to train AI models.
Access is limited to the systems each automation needs, every action is logged, and candidate data is never used to train AI models.
We connect to your existing tools, including:
Works with
Using a different ATS? If it can be reached, we can usually connect to it.
We follow a placement through your agency, from new role to paid invoice, and see where your team's time goes.
We pinpoint the processes where automation will realistically pay for itself, and tell you which ones won't.
We build the AI-powered automation, with checks and human review where the stakes are high.
We connect it to the software your team already uses, so nobody has to learn a new tool.
We monitor it, fix issues, and expand it as your business changes.
Recruitment process automation uses software, and increasingly AI, to handle the repetitive admin around placements: CV parsing, screening support, interview scheduling, client updates, candidate documents and timesheets. For an agency, it means consultants spend more of their day with candidates and clients, and less of it on data entry.
No. We don't sell a recruitment automation tool or ask you to switch ATS. We build recruitment automation around the ATS, inbox and calendars your agency already uses, then maintain it, so your consultants keep working the way they do today.
No. AI summarizes and compares applications against the brief to help your recruiters prioritize, but people decide who is shortlisted, interviewed and placed.
Most likely. Common systems such as Bullhorn, Vincere and JobAdder have APIs we can connect to. Tell us what you use and we'll confirm the approach.
We sign an NDA, limit access to what each automation needs, log every action, and never use candidate data to train AI models.
We work mainly with recruitment agencies of 10–100 people, where admin grows with every client and role. In-house talent teams with high hiring volume have similar workflows, so if that's you, tell us what takes the time and we'll say honestly whether we can help.
Usually with CV parsing or interview scheduling. They happen many times a day and follow a clear pattern, so the time savings show up quickly.
Tell us where your team loses the most time: CVs, screening, scheduling, client updates or timesheets. We'll tell you what AI can realistically handle.
Find What You Can AutomateFree assessment. No commitment. If something isn't worth automating, we'll say so.