How we automated Bridge Recruitment's CV screening, candidate outreach, interview scheduling, and compliance documentation — cutting candidate screening time from 3 days to 4 hours and increasing placement velocity by 52%, generating £840k in new annual revenue from the same team.
Bridge Recruitment had 18 executive recruiters averaging 4.2 placements per month at £28,400 per placement. CV screening took 3 days manually. Outreach reply rates were 18%. Interview scheduling consumed 6 hours of admin per placement.
We deployed five automation pipelines in 14 days. Within 90 days, placement velocity increased 52%, screening dropped from 3 days to 4 hours, outreach reply rate reached 62%, and £840k in additional annual revenue was generated from the same team.
Bridge had a strong track record in senior placements — average placement fee of £28,400, long-standing client relationships with 14 financial services firms, and a repeat business rate above 60%. The challenge was throughput. Each consultant could handle 6–8 active roles simultaneously before quality degraded. The bottleneck wasn't relationship management or sourcing — it was the administrative burden between sourcing a candidate and placing them. At £28,400 per placement, every additional placement per consultant per year represented significant revenue. The MD's target was simple: increase placements without increasing headcount.
Each bottleneck extended the time between role briefing and placement — the metric that determines revenue. In executive recruitment, speed of shortlist delivery is a primary competitive differentiator.
Each role generated 40–60 CVs from job boards, LinkedIn applications, and the internal database. Consultants reviewed each CV manually, cross-referencing against role criteria, building a shortlist of 6–8 candidates. At 3 days per role and 6–8 active roles per consultant simultaneously, screening consumed 60–70% of a consultant's available time. Result: Consultants spending more time on screening than on client relationships.
Initial outreach messages and follow-ups were written individually by consultants. No templates, no personalisation framework, no structured sequence. Reply rates averaged 18% on first outreach, dropping to 8% on follow-up. The best-performing consultants had developed personal approaches; those approaches weren't shared or systematised. Result: 18% reply rate vs 62%+ achievable with structured personalised sequences.
Coordinating interview slots between a candidate, a hiring manager, and often a panel of 2–3 interviewers required multiple email threads, phone calls, and calendar back-and-forth. Average 6 hours of admin time per placement across the coordination cycle. For 75 annual placements, that's 450 hours of consultant time on calendar management. Result: 450h/yr on scheduling · equiv. to 8 additional placements at current rate.
Once an offer was made, the compliance team manually requested right-to-work documents, professional certifications, and references from candidates. Candidates at director level were often slow to respond to ad hoc email requests. Offers delayed by 3–5 days were losing accepted candidates to competing offers in a candidate-tight market. Result: 12% of accepted offers withdrew during compliance delay in previous 12 months.
Clients expected weekly pipeline updates showing candidate status, interview feedback, and market intelligence. Each update was written manually by the consultant — taking 45 minutes per client per week. For 14 active client accounts, that's 10+ hours per week of report writing that duplicated information already in the ATS. Result: 10h/week on reporting · frequently missed or delayed · client satisfaction 3.6/5.
All pipelines integrated with Bridge's existing Bullhorn ATS, LinkedIn Recruiter, and Microsoft 365 — no system replacements, no workflow disruption.
Role brief ingested into Claude AI. Incoming CVs automatically extracted, structured, and scored against role criteria. Top 10 candidates surfaced to consultant with structured comparison — skills match, experience relevance, salary alignment, and red flags flagged. Full shortlist ready in 2 hours.
LinkedIn profile and CV data used by Claude AI to generate a personalised first message referencing the candidate's career trajectory and the specific role opportunity. 3-message sequence (day 1, day 4, day 9) with declining urgency framing. Reply tracking automated. High-intent replies escalated to consultant immediately.
Candidate and interviewer availability automatically polled via Calendly integration. Best slot identified and proposed automatically. One-click confirmation for all parties. Confirmation with joining instructions, agenda, and interviewer bios sent immediately. Reminders sent 48h and 2h before interview.
Offer accepted in Bullhorn triggers automated compliance request: right-to-work document checklist sent via secure portal, professional certification requests sent to awarding bodies, reference requests sent with structured form. Progress tracked in real time. Compliance team notified only when documents are complete and verified.
Live client dashboard showing all active candidates, interview stages, feedback, and next steps — updated in real time from Bullhorn. Weekly automated digest delivered to client contact with market commentary drafted by Claude AI. Consultant review time: 5 minutes per client.
All figures extracted from Bullhorn ATS, time-tracking, and finance records at 90 days. Reviewed with Bridge's MD and Commercial Director before publication.
Bullhorn ATS data analysis — time-to-shortlist, time-to-placement, drop-off rates by stage. Consultant time study across all 18 recruiters. Outreach effectiveness analysis. Client satisfaction review.
Role criteria extraction model trained on 60 historical successful placements. Outreach sequence A/B variants designed with Head of Consulting. LinkedIn API access and Bullhorn integration scoped. Calendly enterprise configured.
CV screening pipeline live day 10 — tested on 3 live active roles. Outreach sequence day 11. Scheduling automation day 12. Consultants trained in 60-minute group session.
Compliance documentation pipeline live day 13. Client pipeline dashboard and reporting day 14. All 14 client dashboards configured. Consultant review confirmed all pipelines running accurately.
Screening model retrained monthly with new successful placement data. Outreach sequence performance reviewed biweekly. First new client account onboarded week 6 using automated process. MD reports outreach reply rate stabilised at 58–64% from week 4 onwards.
45-minute strategy call. We'll audit your ops, identify your top automation wins, and give you the ROI estimate — specific to your stack.
Book Free Strategy Call View PricingI was spending 3 days screening CVs for every role. The AI ranking system gives me a ranked shortlist of 10 in 2 hours, with a structured comparison that's more rigorous than my manual review. My placement velocity has gone from 4 to 7 per month. At £28,400 per placement, that's material.
The outreach personalisation changed our candidate engagement completely. We went from 18% reply rate to 62%. At director level, candidates get dozens of approaches. The AI writes messages that reference their specific career narrative — they respond because it doesn't feel like a blast.
Whether your problem is onboarding, churn, reporting, or all three — the pattern is the same. Let's audit your ops and build the roadmap.