A manual shortlist takes three weeks. In a business where the first agency to submit usually wins the placement, that gap is where your revenue leaks. We build the AI that screens, schedules, and follows up so your desk moves at the speed placements are actually won.
Built around how recruitment and staffing desks actually run.
Screening, scheduling, and chasing candidates is where recruiter hours disappear. It is also where placements are won or lost. The numbers are consistent across the industry.
This is not a productivity nicety anymore. The 2026 State of Staffing report shows a widening split between agencies that automate and agencies that do not.
Same team, same job orders. The difference is that the repetitive work runs itself, so recruiters spend their hours on people and closes.
A few of the highest-value places to start. Examples, not the limit of what we build.
Paste the job spec and the CV, get a sharp "why this person" note for the client in thirty seconds. You read it and you send it, under your own name.
Drop in a raw CV, get it back in your agency template with personal contact details stripped, ready to send. The reformat that eats forty minutes a candidate is done before your coffee is.
Feed it a stack of CVs against the spec, get a ranked shortlist with a one-line reason for each. You still make the call. It just clears the pile first.
Turn any role into a white-label report on salary, talent supply, and how realistic the brief actually is. You forward it under your brand and push back on a bad brief with data, not a hunch.
Turn a messy intake call into a clean role spec you send back to confirm. When the client moves the goalposts three weeks in, you have their brief in writing.
Before you spend on LinkedIn, it mines your own database for past candidates worth a call on this role, ranked, with a draft opener for each. The goldmine you already paid for, finally worked.
Recruitment is a language of its own: requisitions, submittals, time-to-fill, contingency versus retained, ghosting. We built a full internal knowledge base on how staffing agencies actually run so the conversation starts with your workflow, not a generic AI pitch. Every build above maps to a specific, documented pain in the desk.
Acquisition, delivery, and support, scored for where AI removes the most friction first.
Every build targets the gap between a role opening and a candidate accepting elsewhere.
We build on the right tool for your ATS and your team, not whatever we happen to resell.
Industry figures are drawn from the 2026 State of Staffing Benchmarking Report, Kinematic Labs, and Recruiterflow. Flowziv is an early-stage agency building its recruitment case studies now; the numbers above describe the industry, not a specific past client.
An assessment call, no pitch. We look at how your roles run today and show you the two to three highest-value places AI would save time or win more placements.