IT & Software Services
For a staffing or fast-growing services firm, the recruiting engine is the business, and it runs on inboxes, a job board and a shared spreadsheet. A client requirement comes in, candidates are sourced and submitted, interviews are scheduled, offers go out and joins happen, and at every step the status lives in one recruiter's head or inbox, so good candidates go cold waiting, the same candidate is submitted to two clients by two recruiters, and the founder cannot see which requirements are being worked and which are stalling. The fill-rate and the time-to-fill, the two numbers that decide whether the bench gets monetised, are invisible. A BPO or KPO floor is people at scale on shifts, and the people machinery is the operating spine and the cost. Rosters are built in spreadsheets, attendance is reconciled to payroll by hand every month, attrition runs high and is tracked after the fact, seats are paid for whether occupied or idle, and the same leave, payroll and policy questions are answered by HR over and over. The work is mechanical and quantifiable in rupees, and the scale makes every inefficiency, an extra point of shrinkage, an idle seat, a slow onboarding, a real and recurring cost. But every people decision is a live legal-risk surface where a machine must not decide.
Who has it
Two signature cases: staffing and managed-services providers, where the recruiting engine is the business, and BPO / KPO and support operations, with a delivery floor of hundreds to thousands; IT services and software-development firms have it for their own high-volume hiring.
What we build
A recruiter pipeline and people-ops app: requirement to sourcing to submission to interview to offer to join, with named owners and stage dates, a clean candidate master so the same person is not double-submitted, the onboarding document checklist, and a plain read on fill-rate, time-to-fill and recruiter throughput. Every decision about a person, who to submit, interview, offer, hire, stays with a named human; bias here is a legal risk, not a quality preference, so that line is absolute. A workforce and seat-management app for scale: roster and shift planning, attendance capture tied to the payroll input, an onboarding and exit workflow, a leave-payroll-policy helpdesk that answers cited routine questions from the company's own handbook, a seat-and-cost-utilization read, and a plain read on headcount, shrinkage, attrition and cost. The numbers and the workflow are the build; the people decisions stay human.
What is automated, where AI helps, who signs off
The reliable spine
The non-AI spine is the workflow and the numbers: the requirement-to-join pipeline with owners and stage dates, the clean candidate master, the roster and attendance-to-payroll capture, and the reads on fill-rate, time-to-fill, shrinkage and seat cost.
Where AI helps
AI is limited to reading a resume or document to extract its details, answering routine handbook questions with a citation, and matching records; every decision about a person stays with a named human, because bias here is a legal risk, not a quality preference.
Who signs off
A named person signs off anything touching money, a customer promise, a regulated filing, a payment, a price, a credit decision or a people decision.
What changes day to day
Requirements get worked to a clock instead of dying in an inbox; candidates stop being double-submitted; onboarding documents are collected without the WhatsApp chase; the founder sees fill-rate and time-to-fill, the numbers that turn the bench into revenue. Routine HR questions get answered on their own so the team is freed for real people work; attendance reconciles to payroll instead of being re-keyed; idle seats and shrinkage surface in rupees while there is time to act; every decision about a person stays human.
Illustrative outcome
Faster time-to-fill and a higher share of requirements worked to submission, with the bench monetised sooner; on a delivery floor, recovered seat and shrinkage cost and removed manual attendance-to-payroll effort, on a base where a point or two of either is large money. Illustrative; final numbers come from your own data.
Illustrative; final numbers come from your own data.
Path to the build
Book a free 60-minute call, then a free Blueprint on the firm's own records. Deep-dive and build, followed by run and govern so the workflow keeps paying back.
Related builds
A free 60-minute call. No cost, no obligation, just a clear read on what is worth building.