Industry solution
AI for Recruitment Agencies
Recruiters spend 17.7 hours per vacancy on admin before a single candidate is placed. That is 35% of a working week on tasks no client pays for directly. These workflows automate the grunt work so your consultants focus on relationships and placements, not data entry.
17.7 hours per vacancy is your real cost base
Research from the UK REC found that recruitment consultants spend an average of 17.7 hours on admin per vacancy before a single candidate is placed. That is more than two full working days per placement, and it is 35% of a 50-hour working week. For an agency with 15 consultants that is roughly 10 full-time equivalents doing admin instead of placements. No client pays for that time, no consultant enjoys it, and the margin erosion is brutal.
The point of AI in recruitment is not to replace recruiters. It is to give the 17.7 hours back. The relationships, the reference calls, the judgement calls about candidate fit, the client stroking - those stay entirely human. What moves to automation is the data entry, the CV reading that could be triage, the scheduling, the compliance forms, and the dead-space between candidate sourcing and the first real conversation.
CV screening is the first win every time
The single biggest drain on a recruitment consultant's week is reading CVs. The average vacancy attracts 118 applications. The consultant has to open, read, and mentally sort all of them to find the 5-10 worth a proper review. That is roughly 3.6 hours of high-concentration reading per vacancy, and it is the work most consultants dread.
An AI screening workflow triages all 118 CVs in under 60 seconds. It parses each CV against the job spec, scores on skill match, experience depth, and relevance, and returns a ranked shortlist with a one-sentence justification per candidate. The consultant reads 5-10 shortlisted profiles instead of 118, sees exactly why each one scored where it did, and can override any scoring they disagree with. From 3.6 hours per vacancy to 20 minutes. Across a desk handling 8 vacancies a week that is 24+ hours back every single week.
The score itself is not the point. The point is the triage. Every consultant I talk to tells me they already do this mentally in the first 20 seconds of reading a CV. The AI just makes it consistent, auditable, and 200x faster.
The compliance question
Candidate data is special category data in some cases (ethnicity, health, immigration status can end up on CVs), and always personal data under UK GDPR. Recruitment agencies also sit under the REC Code of Professional Practice, which requires auditable processes around candidate handling, right-to-work checks, and equal opportunity monitoring. AI workflows have to respect all of this or they create legal exposure the agency never had before.
Every workflow we build for recruiters uses enterprise API tiers that contractually do not train on your data, processes PII only with documented legal basis, and maintains an audit trail for every AI decision that affects a candidate's progression. If a regulator asks why a candidate was or was not shortlisted, the answer is in the log with the model, the prompt, the score, and the human consultant who signed it off. That is better documentation than most manual recruitment processes produce today.
8 workflows
Ready to build
CV Screening & Scoring
Every inbound CV is parsed, scored against the job spec, and shortlisted with reasoning. The recruiter sees the top 5 with scored justifications, not 118 CVs to read.
From 3.6 hours per vacancy to 20 minutes; 118 CVs triaged in seconds
Interview Scheduling Agent
Candidate confirms interest - AI agent negotiates scheduling with the candidate and the hiring manager across calendars, sends confirmations, handles rescheduling.
Eliminates scheduling email chains; frees 4-6 hours/week per consultant
Candidate Outreach Personalisation
Sourcing job title match - AI drafts a personalised outreach message referencing the candidate's actual background, not a generic template.
Reply rate up from 8% to 22% on passive candidate outreach
Compliance & Right-to-Work Automation
Right-to-Work documents uploaded - AI verifies format and expiry, flags issues, generates the REC-compliant audit trail.
Reduces compliance admin from hours to minutes per placement
Job Spec Intake from Clients
Client emails a rough job brief - AI extracts structured requirements, formats them into a full job spec, and requests any missing fields from the client before the consultant sees it.
From 45 minutes to 5 minutes per new vacancy setup
Candidate Database Enrichment
Existing candidates in your ATS get automatically enriched with LinkedIn updates, new roles, and relevance scoring against open vacancies. Dormant candidates resurface when they become relevant again.
Placements from existing database up 30-50%
Placement Follow-Up Sequences
Day 1, day 30, day 90 post-placement - automated check-ins with candidate and client, satisfaction monitoring, proactive issue flagging.
Reduces drop-outs in probation period; drives referrals
Timesheet Chasing (Temp Desks)
Automated timesheet reminders, collection, validation, and approval routing for contractor/temp placements. Late timesheets flagged to consultants.
Eliminates weekly timesheet hunt; cash collection faster
We work with
Bullhorn, Vincere, JobAdder, Recruiterflow, LinkedIn Recruiter, Broadbean, Idibu
Compliance
All workflows built around REC Code of Professional Practice, UK GDPR requirements for candidate data, and right-to-work verification requirements. Candidate data is handled under enterprise API tiers that do not train on PII.
Frequently asked questions
- Will AI CV screening get us in trouble with discrimination law?
- Not if built correctly, and in most cases it reduces discrimination risk compared to manual screening. The UK Equality Act 2010 applies to any recruitment decision regardless of whether a human or AI made it. We build screening workflows that score against explicit skill and experience criteria only, log every scoring decision with the reasoning, and require human consultant sign-off before any candidate is rejected. This produces a stronger audit trail than mental triage by a tired consultant at 5pm, which is the actual baseline most agencies compare against.
- How does AI integrate with Bullhorn, Vincere, or JobAdder?
- Through the CRM's API. We do not replace your ATS. We add an AI layer that reads data from Bullhorn or whichever system you use, runs workflows (screening, scheduling, enrichment, compliance), and writes results back into the same system the consultants already work in. No data migration, no retraining on new software, no disruption to your billing and placement records.
- What about candidates who want to know if AI was used in their application?
- Under UK GDPR candidates have the right to know about automated processing and its logic. We recommend agencies disclose AI screening in their candidate privacy notice and allow candidates to request human-only review if they prefer. In practice almost no candidates exercise this - they care about speed of response and fit of the role. The transparency is a compliance requirement that also happens to be a trust signal.
- How much does an AI recruitment build actually cost?
- The standard 14-day Sprint is £1,950 and typically delivers one complete workflow (usually CV screening or scheduling) with full integration and training. The Sprint Plus at £2,950 delivers two workflows plus an AI Advisor relationship for the next 90 days. Running costs after deployment are £50-150 per month depending on volume. For an agency with 5 consultants, the breakeven is usually inside the first month through recovered consultant hours.
- Our desk is specialist / niche - does this work for executive search?
- Yes, and arguably better. Executive search desks handle fewer, higher-value roles where judgement and relationships dominate. The AI does the low-value work (CV formatting, scheduling, database enrichment, reference note drafting) so the senior consultants can spend 100% of their time on the relationship work that only they can do. We have built workflows for boutique specialist desks and they see bigger per-consultant productivity gains than volume desks do, because the gap between 'the work you sell' and 'the work you actually do' is widest in senior search.
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