Overview
Agentised for recruitment deploys AI agents that source, screen, and shortlist candidates without constant recruiter supervision. Unlike ATS keyword matching, AI agents understand context—recognising transferable skills, inferring capabilities from career progression, and surfacing candidates that traditional systems miss. For UK recruitment agencies, this means reducing time-to-shortlist by 50% while delivering 3x more qualified candidates.
Recruitment agencies operate in a paradox: they need to move fast to win roles, but quality placements require thorough candidate assessment. AI agents resolve this by handling the volume work—sourcing, initial screening, scheduling—while recruiters focus on relationship building and closing deals. The agent drafts the shortlist; you make the final call.
What Agentised Does for Recruiters
AI agents execute complete recruitment workflows autonomously, pausing only when recruiter approval is needed for candidate communications or client submissions. Here are the four highest-impact use cases:
Candidate Sourcing
CV Screening
Interview Scheduling
Client Reporting
Agentised vs Traditional Tools
How do AI agents compare to ATS systems, LinkedIn Recruiter, and RPO providers? This table breaks down the key differences:
| Capability | Us | ATS | LI | RPO |
|---|---|---|---|---|
| Understands context/transferable skills | ||||
| Works 24/7 | ||||
| Personalised candidate outreach | ||||
| Multi-platform sourcing | ||||
| Interview scheduling | ||||
| Learns from feedback | ||||
| Scales without headcount | ||||
| GDPR-compliant audit trail |
Full support Partial Not supported
"ATS systems are search engines—they find keywords. AI agents are recruiters—they understand careers. The difference is spotting a candidate who worked at a startup doing 'technical operations' and recognising they're actually a DevOps engineer."
GDPR Compliance
UK recruitment agencies handle sensitive candidate data subject to GDPR. Any breach risks ICO fines up to £17.5 million or 4% of global turnover. Here is how Agentised ensures compliance:
Zero-Retention Model
Candidate data is processed but never stored for AI training. All data remains in your ATS (Bullhorn, Vincere) via secure APIs. We process, we don't retain.
Audit Trails
Full audit logs track every action for ICO inspection. Consent preference tracking ensures candidate rights are respected. Data retention policies enforced automatically.
Secure Integration
SOC 2 Type II certified. Data encrypted in transit and at rest. Agents operate within your existing ATS via secure, authenticated APIs. No data leaves your ecosystem.
GDPR Reminder: AI agents that process candidate data must satisfy Article 22 requirements around automated decision-making. Agentised's supervised autonomy architecture ensures all significant decisions—candidate rejections, client submissions—queue for human review.
ROI and Market Statistics
AI agents deliver compound ROI: faster shortlists win more roles, better candidate matching improves placement rates, and reduced admin frees recruiters to build relationships.
The Recruitment Agency Advantage
Sources: Agentised deployment data, Industry benchmarks
Recruitment Specialisms
AI agents adapt to sector-specific requirements, terminology, and compliance needs. Explore solutions tailored to your specialism:
IT & Tech Recruitment
Developer, DevOps, and technical role automation
Coming soon →Healthcare Recruitment
NHS, care home, and clinical staffing workflows
Coming soon →Finance Recruitment
Accountancy, banking, and financial services placements
Coming soon →Legal Recruitment
Solicitor, barrister, and legal support roles
Coming soon →Not sure where to start?
Our Liability and Leakage Audit analyses your current workflows and identifies the highest-ROI automation opportunities. In 5 days, you will have a clear roadmap for AI implementation tailored to your agency.
Book an AuditFrequently Asked Questions
How do AI agents differ from ATS keyword matching?
ATS systems match keywords—if a CV lacks the exact terms, it is filtered out. AI agents understand context: they recognise transferable skills, infer capabilities from career progression, and surface candidates that keyword matching misses. They read CVs like an experienced recruiter, not like a search engine.
Can AI agents handle candidate communications?
Yes, with recruiter approval. AI agents draft personalised outreach messages, interview confirmations, rejection emails, and status updates. All client and candidate communications queue for recruiter review before sending. The agent writes; you approve and send.
How do AI agents ensure GDPR compliance?
Agentised operates on a zero-retention model: candidate data is processed but never stored for AI training. All data remains in your ATS (Bullhorn, Vincere) via secure APIs. AI agents respect candidate consent preferences and data retention policies. Full audit logs track every action for ICO inspection.
What recruitment tasks can AI agents automate?
AI agents excel at high-volume operational work: CV parsing and screening, candidate sourcing across job boards and LinkedIn, interview scheduling and rescheduling, client progress reporting, reference collection, and compliance documentation. They handle the admin that prevents recruiters from building relationships.
How long does deployment take for a recruitment agency?
Typical deployment is 2-3 weeks. Week 1: Integration with your ATS (Bullhorn, Vincere, JobAdder) and job boards. Week 2: Configuration of screening criteria and communication templates. Week 3: Supervised rollout starting with highest-volume roles. Most agencies see measurable time savings within two weeks.
Ready to transform your recruitment agency?
See how AI agents can help you source faster, screen smarter, and place more candidates. Book a demo to see candidate sourcing, CV screening, and interview scheduling in action.