SA recruitment agencies and HR teams sit on more applications than they can possibly screen properly. The ATS gets 250 CVs for one role; the consultant has 4 hours to find the 5 best ones. Internal HR fields the same questions about leave, payslips, policies, weekly. Both problems get worse as headcount grows. AI doesn't make hiring decisions; it makes the screening, scheduling, and policy-Q&A work tractable.
What we build
CV screening assist
Bulk CV screening against role criteria. Recruiter reviews top-N output rather than reading 250 from scratch. Bias-aware filtering.
Candidate Q&A bots
WhatsApp/web chatbot answering common candidate questions — application status, interview prep, role details, company info.
Interview scheduling
AI scheduler coordinating with candidate, recruiter, and hiring manager calendars. Reschedules handled automatically.
Onboarding workflows
Pre-arrival comms, document collection, policy acknowledgement, day-1 setup automation.
HR-policy AI
Internal AI answering employee questions about leave, payslips, BCEA, company policies — with citation to source documents.
ATS automation
Bullhorn, Vincere, JobAdder, PCRecruiter, Workday, SAP SuccessFactors — workflows automated end-to-end.
Compliance & bias awareness
SA employment law (BCEA, EEA, LRA), POPIA on candidate data, and BBBEE-aware reporting all factor into recruitment AI implementations. We design with documented bias monitoring — periodic review of AI screening decisions for protected-characteristic correlation. AI never makes final hiring decisions; it screens for human review.
What it costs
Implementation. R22,000-R110,000 depending on scope and ATS integration depth.
How to start
30-min call to discuss your operation. Email info@faautosolutions.com or use the contact form.
Who it's for
- Specialist recruitment agencies (perm and contract) with 5-50 consultants
- Mid-market HR teams managing high candidate volume
- Executive search firms with structured candidate-research workflows
- Outsourced talent providers handling client-side recruitment operations
Typical SA deployment
Representative implementation: SA recruitment agency, 14 consultants, mixed perm and contract placements across IT, finance, and engineering disciplines, on Bullhorn ATS. Figures illustrative.
Baseline: consultants spending ~6 hours per week each on Bullhorn data entry — logging calls, updating candidate status, parsing CVs into the ATS. ~250 CVs received per week (LinkedIn applications, agency website, partner sources). Bias monitoring informal and patchy.
What we built: CV ingestion and parsing pipeline (LinkedIn API + email + agency portal), candidate enrichment with current-employer/skill detection, AI scoring trained on the agency's placement history, automated interview scheduling across consultant + candidate + hiring-manager calendars, automated status-update comms to candidates, weekly bias-monitoring report on screening decisions.
Representative results after ten weeks: consultant Bullhorn admin time down ~70% (from ~6 hours to ~2 hours per week); CV-to-shortlist time compressed from days to hours for most roles; candidate experience scores up materially driven by faster status updates; placement velocity up roughly 18% per consultant.