Bill rates are capped by the market and pay rates are set by law. The only margin lever you fully control is what one filled shift costs you to serve — and in most staffing firms that number has never been measured, let alone attacked. ShiftMargin is an automation studio that does exactly one thing: measure it, then automate it down. Built by operators who run staffing businesses, with automations shipped across India, Southeast Asia and the Gulf.
And no, this doesn't mean firing recruiters. It means they stop dialling lists and chasing timesheets, and go back to the client and candidate work you actually hired them for. Headcount usually stays. Capacity roughly doubles.
The audit: two weeks, $7,500, your real numbers — and free if it doesn't find 10× its fee in annual savings. The teardown: 30 minutes, no deck, leave with two things to fix.
The 6am client text that burns an account. No-shows discovered at shift start, banquet fills collapsing on the day.
No-show prediction + auto-backfill → Light industrial · BranchesEvery branch runs its own wayCoordinator cost per placement climbing, screening quality that depends on which office picked up the phone.
AI screening + one intake layer → Healthcare staffingFastest submittal winsThe assignment goes to whoever submits first. Your recruiters are still dialling while a competitor's shortlist lands.
Screening + credential pre-check → EU · Compliance-heavyEqual-pay admin eats the marginAÜG clocks, umbrella liability, reclassification rulings — compliance calculated by hand, priced into every placement.
Compliance-grade automation →This is the same operating loop whether you run temp desks in Ohio, Zeitarbeit in Munich or TES contracts in Johannesburg. We've automated every step of it in production, on staffing businesses we run product for.
Every system below runs in production somewhere today. Buy them one at a time — each stands alone, and each makes the next one cheaper because the data is already flowing. And every one of them removes work, not people: the amber steps in the flows below stay human on purpose, because that's where your business actually lives.
A multilingual voice + WhatsApp agent calls every applicant within minutes, runs your disqualifying gates, books the interview, and transfers live passes to a recruiter.
Automated multi-channel sourcing plus re-engagement of your dormant database — the thousands of past workers you already paid to acquire and never call.
Prediction from each worker's own history, automated confirmation calls, and a backup pool invited before the gap exists. The client never finds out first.
Geofenced clock-in with liveness generates the timesheet; the timesheet generates payroll and the client invoice. Validation runs before money moves. Humans see exceptions only.
An intake agent turns a free-text client message into a structured, priced, postable order — then sends automated fill updates and a weekly service report the account manager only signs.
A support agent on the worker's own channel and language, with their shift, attendance and pay status attached. Escalates real cases to humans with full context.
No 40-page strategy documents. Every engagement ends with something running against your real operation, and every fee is agreed before we start.
ShiftMargin was founded by Anuj Saxena, who has spent his career building and running product for staffing and gig-work platforms across India, Southeast Asia and the Gulf — half a million registered workers, tens of thousands deployed every month. These aren't case studies borrowed from a pitch deck; they're operations he has been accountable for.
That's the difference you're buying: we've sat in the requirement-intake WhatsApp groups, watched recruiters dial lists, chased the timesheets and reconciled the payroll — on P&Ls we answer for, across India, Southeast Asia and the Gulf. Delivery is founder-led with a small senior build team; you will never be handed to a junior.
The stack is boring on purpose: voice and chat agents with deterministic workflows (every mandatory step runs, every time — what makes AI safe in a compliance business), connected to your existing ATS and payroll through APIs or MCP connectors, with a human approving and every action logged.
Cost per filled shift, decomposed. Recruiter minutes, coordinator touches, chase cycles, leakage. From your real data and two days on your ops floor (or your calls, remotely).
Every automation candidate, priced: build cost, monthly saving, payback in weeks. You pick the order. Most firms find the first payback under 90 days.
One workflow to production with a manual fallback behind it — your clients never feel the transition. Your ATS stays; we connect to it, we don't replace it.
A weekly number: what this workflow used to cost, what it costs now. If the number stops moving, we stop building. That discipline is the service.
Good — that's normal, and it's priced in. Agents read messy inputs better than integrations ever did. Two of the six automations above need nothing more than WhatsApp and a spreadsheet to start.
They do — and your best people spend most of their day on work that isn't relationships. The point is to give your recruiters back their afternoons, not to remove them. Headcount usually stays; capacity doubles.
Agreed, which is why nothing here makes a decision unsupervised. Deterministic workflows, human approval on anything that touches money or employment status, and a full audit log. We build for regulators to read.
A chatbot answers questions. These agents execute your process — with your gates, your rate card, your scripts — and hand to a human the moment they're out of scope. Different species. We'll show you the failure modes before you buy anything.
Most operators guess. Almost all guess low. Two weeks and a fixed fee gets you the real number and a priced plan to cut it — and the audit is free if it doesn't pay for itself ten times over.
Book the ops audit → Prefer a look first? Book a free 30-minute teardown — bring your fill-rate and no-show numbers, leave with two things to fix.