Fill roles faster with recruiting automation that actually runs

The req is open, the pipeline is stalling, and your recruiters are doing admin

Walk into most talent teams and the bottleneck is never a lack of effort. It is that skilled recruiters spend the majority of their week on work that does not require a recruiter. A single open role can generate two hundred applications, and someone has to open each CV, match it against the must-haves, tag it, and either move it forward or send a rejection. Multiply that by a dozen live reqs and screening alone eats days. Meanwhile candidates sit unanswered for a week, and the best ones take another offer before anyone books a call.

Scheduling is the other quiet killer. Coordinating a single interview loop across three busy calendars, a candidate in a different time zone, and a hiring manager who only replies at 9pm is a genuine email marathon. Staffing and agency recruiters have it worse: they run the same loop across dozens of clients at once, plus timesheets, redeployment, and compliance documents. The result is a pipeline that leaks at every manual handoff, a candidate experience that makes your brand look slow, and a team too swamped with logistics to actually sell the role.

None of this is a headcount problem. It is a workflow problem. The screening rules exist in a recruiter's head, the scheduling logic is predictable, and the status updates are triggered by events your ATS already knows about. That is the signature of work worth automating: high volume, clear rules, and a real cost every time a human does it by hand.

What we build: sourcing, screening, and scheduling that run themselves

We do not sell you a new recruiting platform. You keep your ATS, whether that is Greenhouse, Lever, Ashby, Workable, Recruitee, or Personio, and we build automation around it that reads and writes through its API. The automation becomes the connective tissue between your ATS, your inbox, your calendars, LinkedIn, your job boards, and Slack, so a candidate moves from application to booked interview without anyone copy-pasting between tabs.

The engine underneath is a mix of tools chosen for the job, not for fashion. Straightforward triggers and app-to-app moves run on Make or Zapier. Anything with branching, scoring logic, or real data wrangling runs on n8n, which we can self-host so candidate data stays in the EU. For the reading and judgement steps, parsing a messy CV, matching it to a job description, drafting a personalised outreach message, we use LLMs with your criteria and your tone baked in. Where an off-the-shelf tool cannot do the job, we write custom code.

• CV parsing and structured extraction: name, skills, years of experience, location, and work authorisation pulled cleanly from any PDF or LinkedIn export.
• First-pass screening against your must-haves and nice-to-haves, with a ranked shortlist and a written reason for every score, not a black-box yes or no.
• Interview scheduling that reads live calendar availability, offers the candidate real slots, books the loop, and sends invites with the video link attached.
• Automatic candidate communication: acknowledgements within minutes, status nudges, interview prep emails, and prompt, respectful rejections that protect your brand.
• Pipeline hygiene: stale candidates flagged, duplicate records merged, and every stage change written back to your ATS so your reports are actually accurate.
• Sourcing support: enrichment of inbound applicants and drafted, personalised outreach for passive candidates, queued for a recruiter to review and send.

The recruiting workflows worth automating first

Not every step deserves a machine, and we start where the volume and the rules are clearest. For in-house talent teams, the fastest win is almost always the screen-and-schedule loop: the stretch between an application landing and a qualified candidate sitting in front of a hiring manager. That is where the highest volume meets the most predictable rules, so it pays back in weeks.

For staffing and recruitment agencies, the highest-leverage automations sit around throughput and matching, because your revenue is a direct function of how many good candidates you move per week. The patterns below are the ones we ship most often, and each connects to the systems you already run rather than replacing them. When a role spans several of these, we compose focused automations that hand off to each other cleanly, closer to how we approach cross-tool integration than one fragile mega-workflow.

• In-house talent: inbound application triage, first-pass screening, interview scheduling, and offer-stage document collection.
• Staffing agencies: candidate-to-vacancy matching across your database, bulk shortlist generation for a new client brief, and automated client submission packs.
• High-volume and seasonal hiring: application processing, automated assessment invites, and scheduling for hundreds of candidates without adding coordinators.
• Onboarding handoff: once a candidate signs, trigger the account, equipment, and paperwork tasks automatically, which flows straight into HR onboarding automation.
• Recruiting reporting: time-to-hire, source effectiveness, and pipeline conversion pulled live from your ATS, the same approach we take to reporting automation.

How we build it, and what you own when we are done

We start with the numbers, not a workshop. We map one target workflow end to end, every click, lookup, and copy-paste a person does today, and confirm the volume and cost make automation worth it before we build a thing. Then we prototype against your real data: your actual CVs, your actual job descriptions, your actual calendars. Screening in particular runs in draft mode first, where the automation proposes a shortlist and a human reviews it, so you can measure its accuracy against your recruiters' own judgement before it runs unattended.

Every automation is built to be watched, not trusted blindly. Each run is logged, and any exception, an ambiguous CV, a scheduling conflict, a candidate who replies with a question, routes to a human instead of failing silently. You get a dashboard showing what ran, what it saved, and what got escalated. Recruiting also carries real obligations: candidate data is sensitive personal data under GDPR, and automated screening touches fairness and bias directly. We keep a human in the decision loop, log why every candidate was ranked where they were, and never let the machine make a final rejection on a borderline case on its own.

When the build is done, it is yours. We hand over the workflows, the documentation, and the logic, running on your accounts and your infrastructure. There is no proprietary box you are locked into and no per-seat licence that grows with your team. If you want us to keep running and improving it, we do that too, but the automation belongs to you either way.

• Runs on your accounts and your ATS, self-hosted on n8n where data residency matters.
• Human-in-the-loop on every screening and rejection decision, with a logged reason per candidate.
• GDPR-aware by design: candidate data handling, retention, and consent built in, not bolted on.
• Full handover of workflows and documentation, no lock-in and no per-seat licence.

Time saved, cost per hire, and when to leave it manual

The math on recruiting automation is usually blunt. A recruiter screening two hundred applications for one role at three minutes each is ten hours gone before a single conversation happens. Automate the first pass and that drops to a review of a ranked shortlist, cutting screening time by 60–80% on high-volume roles. Scheduling a single interview loop by email can burn thirty to forty-five minutes of back-and-forth; automated, it is a handful of clicks for the candidate and near-zero for your team. Across a busy pipeline, that is a coordinator's entire week handed back.

The payoff is not only hours. Faster response times mean fewer good candidates lost to a competitor's quicker process, which is real revenue for an agency and a real quality-of-hire gain in-house. A scoped recruiting automation typically reaches production in two to four weeks, and because we tie our fee to it working, you are not paying for a slide deck. If it does not do the job in production, you do not pay for it, and that model only holds because we pick workflows where the return is countable before we start.

We will also tell you when not to automate. If you hire five people a year, a screening pipeline costs more to build and maintain than it saves, and a good template and a sharp recruiter beat it easily. Senior and executive search is relationship work where automation belongs in the background, on research and scheduling, never on the judgement. And the final hire or reject decision on a real person should always stay with a human. The goal is not a recruiter-free process. It is giving your team back the hours that CV admin and calendar ping-pong quietly steal, so they can spend them on candidates.