Newcastle

AI for Recruitment Agencies in Newcastle

Most of the recruitment agencies we talk to around Newcastle are in the same shape. A ten to forty consultant agency working a specialist desk or two out of offices around Grey Street, the Quayside or Gosforth Business Park. Tech and digital. Engineering and offshore into the Tyneside supply chain. Professional services, public sector and NHS. The model works. The clients are loyal. What has changed is that each brief takes longer to fill than it used to, and the ceiling on what any one consultant can close is the hours spent on screening rather than hours spent on calls. CV triage eats the morning. Job spec rewriting eats the afternoon. The database that cost tens of thousands to build sits quietly between active projects because nobody has two spare days to mine it. Most growth directors we meet are not looking for a new CRM and are not looking to hire their way out of it. They want their consultants to stop spending a third of the week on work the client has never paid for.

What we do

How we help recruitment agencies in Newcastle

CV screening and shortlisting that stops eating the consultant's morning

Every live brief on an active desk pulls in between eighty and two hundred CVs, sometimes more when a role goes out on Indeed or LinkedIn. The consultant then spends five to seven hours per brief reading each CV, scribbling notes, and trying to remember whether she has already seen this candidate for something similar last quarter. A Newcastle specialist agency we looked at had twenty consultants averaging four to five briefs closed a month each, and when the growth director worked the numbers back, roughly a third of billable-capable hours were going into CV triage. The ceiling on the desk was not effort and it was not talent. It was screening.

We build a lightweight intake step that turns a brief into a structured scorecard before anyone touches a CV, then a screening assistant that scores each candidate against the scorecard, flags gaps and pulls out the evidence for the score. The consultant still builds the shortlist, reorders it and cuts it before it reaches the client. Bias and compliance are handled from the start. Names, addresses, photos, dates of birth and university names are excluded from scoring, the prompt and the fields it reads are documented, and we run a parallel test for a fortnight before going live so any drift is caught early. One agency we worked with cut screening time per brief from six hours to forty-five minutes, dropped time-to-shortlist from just over four days to under a day and a half, and lifted closes per consultant from five a month to seven.

Database mining and candidate re-engagement without the campaign slog

Every agency with more than five years of trading has a CRM full of placed and rejected candidates, most of whom have never been contacted again. The data is valuable. The work of turning it into a useful list for a live brief is not. A consultant has to write a Boolean string, run it, read the results, check who is still in the region, who has moved up a grade, who was a dropout last time because of salary and might be worth another call. In practice this does not happen, because by the time you have done it, the brief is two days old and the client is already talking to two other agencies.

We build tools that read the CRM, cross-reference against the scorecard for a live brief, and produce a ranked list of dormant candidates worth reaching out to. Each name comes with the original placement context, the last touchpoint, and a two-line reason for the fit. The consultant still makes the call and still writes the follow-up. What goes away is the forty minutes of Boolean building and the half day of CRM archaeology. A Tyneside engineering recruiter we worked with re-engaged thirty-one dormant candidates on one live brief, shortlisted three and placed two, one of which came from a 2021 application that had gone cold. The fee covered the build cost three times over on the first project.

Client-ready longlists, formatted candidate packs and BD research the same afternoon

The work a consultant does for a client beyond calls is almost entirely document production. Candidate summaries reformatted into the agency's template. Longlist packs for retained search. BD research on a target company before an intro call, pulling together recent news, hiring patterns, and a read on the org chart. Diversity reporting for public sector or corporate clients who now require it as a matter of course. Every one of these is predictable, repetitive, and currently done by a consultant at half past five in the evening when the calls have stopped.

We build tools that take a raw CV or a set of them, reformat into the agency's template with the sensitive fields stripped or retained depending on client preference, produce a longlist document to retained-search standard, and on request pull a BD research pack on a target company from public sources. The consultant reviews and sends. The diversity reporting is produced from the same pipeline without anyone needing to touch a spreadsheet. On a typical desk the recovered time settles at eight to twelve hours a week per consultant, which is mostly going back into candidate calls and client check-ins rather than into more briefs, and that is where the placement lift comes from.

Screening was never the work we were paid for. It was the work that was eating the work that mattered. The consultants were never going to hit their potential as long as most of their week was CV triage. We could either hire our way out of it or fix the workflow. Fixing the workflow turned out to be the cheaper option by a long way.
Growth director, 20-consultant specialist agency
How we work

One problem at a time

We work on one problem at a time. No transformation programmes, no glossy strategy decks, no retainer signed before you have seen anything running. The first conversation is a free AI Opportunity Report. Fifteen minutes of your time, and within twenty-four hours you get a written report back that picks out two or three places where AI would pay for itself quickly in your agency, with honest estimates of what it would cost and how long it would take.

If one of the ideas looks worth doing, we talk about doing it. If none of them do, the report is yours to keep. No sales call, and no pressure to move any faster than you want to.

Why Newcastle

We are based here in the north east ourselves

We are based here in the north east ourselves, and most of the recruiters we talk to around Newcastle are a short walk or a short drive from the office. The city has a proper agency ecosystem. Specialist tech and digital desks around the Quayside. Engineering and offshore recruiters tied into the Tyneside supply chain and the Nissan network. Professional services and public sector recruitment working the Grey Street and Gosforth side. Healthcare and NHS recruiters across the region. What most of these agencies have in common is owner-led management, ten to forty consultants, a specialism the team has built over a decade or more, and a CRM packed with data that nobody has the time to mine properly. None of what makes these agencies good, the relationships, the sector knowledge, the judgement on a candidate after a ten-minute call, is getting automated away. What we automate is the screening and the document work that was quietly eating the consultant's Friday afternoon.

FAQs

Common questions from Newcastle recruitment agencies

Will this interfere with our CRM or the candidate data we already hold?

No. The standard approach is to leave Bullhorn, Vincere, JobAdder or whatever you use exactly as it is, and build around it. We read from the CRM, write into the formats your consultants are comfortable with, and integrate cleanly via API where one exists. If it does not, we work alongside. The CRM stays as the system of record and nothing gets rewritten underneath your team.

Is this safe from a bias, GDPR and compliance perspective?

Yes, when it is set up properly. Candidate names, addresses, photos, dates of birth and university names are excluded from any scoring. The prompt and the fields the assistant reads are documented so you can show a client or a regulator exactly how a shortlist was produced. We run a parallel test for a fortnight before anything goes live so any drift in rankings is caught early. Candidate data stays under your control and is never used to train a third-party model.

How quickly do we see a result?

The first piece of work normally runs two to six weeks from the initial conversation to something live on an active desk. We keep the first project deliberately narrow so you see a real shift in a measurable KPI, usually time-to-shortlist or closes per consultant per month, and can decide for yourself whether we are worth bringing back for the next one.

What AI tools do you actually use?

Whichever ones fit the job. We resell nothing and take no vendor commission, so the recommendation is not shaped by anyone else's incentive. On recruitment work it tends to come out as document extraction for CVs and briefs, workflow platforms like Make or n8n for connecting systems, and bespoke wrappers around Claude or GPT for the scoring and the language-heavy work. We do not replace software you already pay for.

Will this replace consultants or the resourcer team?

No. Every agency we have worked with has come out with the same team, closing more briefs and doing more of the work that actually requires a recruiter, meaning calls, candidate conversations and client relationships. The point is to take the CV triage, the database mining and the candidate reformatting off the consultants and the resourcers, not to shrink the desk. Good consultants with real sector knowledge are hard enough to hold on to without losing them on purpose.

Run a recruitment agency in Newcastle?

Fifteen minutes from you, and a detailed written report back within twenty-four hours. No sales call required.