AI Role-Play for Staffing Agencies
Rekbot is AI role-play and call coaching for recruitment agencies. Consultants practise fee negotiations, BD objections and candidate calls before those mistakes cost a fee. Built for staffing desks, not generic sales teams.
Most agencies still treat the live client as the classroom. A junior folds on fee. A biller mishandles a counter-offer. A cold BD call dies on “we have a PSL.” Each lesson has a price tag. AI role-play moves those lessons off the fee and into a private simulator your consultants can run every day.
Why staffing agencies need role-play before live fees
Recruitment is skill under pressure. Fee negotiation, candidate control and business development do not improve from a slide deck. They improve from reps: speak, get challenged, get scored, try again.
Traditional graduate onboarding often means 8 to 12 weeks before confidence on candidate calls, and 10 to 14 weeks to a first placement. Experienced billers leak money too when habits go unchecked. Manager coaching is scarce because the manager is usually the top biller.
Rekbot closes that gap with AI call simulations built for recruitment scenarios, adaptive feedback after every attempt, and coaching that does not pull your best people off the phones. See Rekbot pricing for plans that scale with scenario minutes, not seat theatre.
Scenarios that protect your fees
- Fee negotiation. Practise holding rate when a hiring manager cites a cheaper competitor, without giving away £3,000 on a £60,000 salary in one call.
- Counter-offer. Rehearse the quiet period after acceptance, test real motives for moving, and keep the placement when the current employer matches.
- Cold BD and PSL objections. Drill “we do not use agencies,” gatekeepers and qualification so juniors do not hang up on every hard lead.
- Candidate delivery. Interview control, drop-out prevention, offer negotiation and difficult client updates.
You can also upload job descriptions and CVs for more relevant practice, or use synthetic scenarios. Shadowing shows how strong calls sound before a consultant takes the seat. The Coaching Zone answers questions in the moment. That is closed-loop practice: volume, safe mistakes, immediate feedback, then live calls.
Proof from Avery Fairbank (one agency, four graduates)
When Avery Fairbank put four graduate trainees through Rekbot, first placements landed in weeks five and six. Traditionally that takes 10 to 14 weeks. Manager and senior biller time on onboarding fell from about 20 hours a week to about 2 hours a week. Unsuitable aptitude showed within 48 hours instead of 6 to 8 weeks.
This is one agency and a small group, not a clinical trial. Three of the four asked to make live calls within three days. By week twelve, one had won a self-generated client worth over £200,000 in fees. Charlie Fairbank, CEO, described the efficiency as feeling like “a cheat code.” Full narrative and table: Your Best Lessons Are Costing You Fees.
Who this is for
- Staffing and recruitment agency founders who want faster ramp without burning leads
- Managers who need consistent coaching without stopping billing
- Graduates who need safe reps before fee-bearing calls
- Experienced billers who want a private place to stress-test old habits
More detail on how practice, roles and security work sits on the Rekbot FAQ.
FAQ: AI role-play for staffing agencies
What is AI role-play for staffing agencies?
It is simulated client and candidate calls powered by AI, scored and coached, so recruiters rehearse fee talks, objections and delivery before those conversations cost a placement.
How is Rekbot different from a training day?
A training day is mostly listening. Rekbot is retrieval: consultants speak under pressure, get adaptive feedback, and retry until the behaviour sticks. That mirrors deliberate practice, not a one-off workshop.
Does Rekbot replace managers?
No. It gives managers evidence and hours back. Onboarding and coaching hours shrink so leaders can bill and coach from data, not gut feel alone.
Can we start with graduates only?
Yes. Many agencies begin with a Grad/Rookie style programme for intensive scenario time, then expand to experienced desks. Check current options on pricing.
Make the next expensive mistake on Rekbot, not on your best client. Book a demo at rekbot.ai or email Will@rekbot.ai.