For HR teams, staffing agencies, and growing businesses that need to hire faster, manage people better, and turn workforce data into decisions — without living in spreadsheets or chasing managers for approvals.
Tools we wire together
Live signal
Every card below is a working pattern we've shipped or scoped for a real hr & staffing client — not a wishlist.
Centralised ATS with job board integrations, candidate pipeline views, interview scheduling, and offer-letter generation. Cut time-to-hire without adding headcount to the talent team.
Employee master, payroll processing, payslip distribution, and statutory compliance (PF, ESI, TDS, PT) — all automated. Month-end payroll goes from three days to three hours.
GPS-verified attendance, configurable shift schedules, leave policies per grade, and manager-approval workflows. Disputes resolved in seconds, not arguments.
Goal-setting, continuous check-ins, 360-degree reviews, and calibrated appraisal cycles — with a full audit trail. Ratings backed by data, not memory.
Payslips, leave balances, policy documents, and IT declarations — available to every employee without raising an HR ticket. Your team focuses on people, not paperwork.
Attrition trends, cost-per-hire, headcount by department, and diversity metrics surfaced as live dashboards. Workforce decisions made on evidence, not instinct.
PF, ESI, TDS, and PT returns compiled and formatted for filing — automatically. Compliance deadlines stop being a monthly anxiety event.
Checklist-driven digital onboarding: offer acceptance, document collection, IT access provisioning, and buddy assignment — all tracked. Offboarding clears access and triggers FnF with zero manual chasing.
Employees ask about leave balances, payslips, and company policies in natural language. The bot answers instantly — at 11 pm on a Sunday if needed.
Tools typically used
Zoho PeopleOpenAIReactNode.jsPostgreSQLTwilioThese are the workflows that quietly drain margin, staff time, and patience. Every system we build starts from one of these.
Requisitions sit in inboxes, interviews get rescheduled, candidate feedback lives in notebooks. The best candidates accept elsewhere.
Manual attendance consolidation, last-minute correction rounds, and statutory calculation spreadsheets that break when someone leaves the company.
Proxy punching, shift confusion, and month-end disputes that drain HR hours and corrode team trust — all traceable back to no system.
Ratings with no history, feedback with no accountability, and increment decisions made in a room with no data. Top performers notice.
Payslip requests, leave balance queries, and document downloads that every employee could self-serve — if the portal existed.
Resignations arrive as surprises. The signals — missed goals, low engagement, changed leave patterns — were always there. They just weren't surfaced.
Specific, working uses of LLMs and ML in real hr & staffingoperations — not generic “AI-powered” marketing.
JD dropped in, shortlist out in minutes. The model scores CVs against role requirements and flags top matches — recruiters spend time interviewing, not filtering.
Per-employee risk scores built from engagement signals, performance trends, and leave patterns. HR intervenes before the resignation letter, not after.
WhatsApp or Slack bot handles payslip queries, leave applications, and policy questions in plain language — around the clock, without a ticket.
AI-generated review summaries from OKR completion data, peer feedback, and check-in notes. Managers review and edit — they don't start from a blank page.
Candidate data in, compliant offer letter out. Variable pay, notice periods, and role-specific clauses applied automatically from your approved templates.
Project pipeline → headcount plan. The model projects hiring needs by role and location three months ahead, so talent acquisition isn't always reactive.
A four-stage framework with AI capability called out at each step — so you can see exactly where machine learning earns its keep.
We map your current HR tools, data gaps, entity structure, and statutory obligations (PF, ESI, PT jurisdiction). You get a written plan — not a feature list.
AI-assisted gap analysis against your payroll and attendance records.
We ship the highest-pain workflow first — usually payroll automation or attendance management — live in production with real employees using it.
LLM-generated schema seeds and test payroll data to accelerate build.
Recruitment pipeline, offer management, and the employee self-service portal go live. Parallel run with your existing process until confidence is built.
AI screening model trained on your historical hire data and role definitions.
Monthly review of payroll accuracy, time-to-hire, attrition signals, and HR ticket volumes. We tune the system to the metrics that matter to your leadership.
Anomaly alerts on payroll drift, attendance irregularities, and attrition risk spikes.
Every system we ship comes with the controls and audit surface your inspectors will ask for — designed in from day one, not bolted on later.
Statutory deductions calculated and formatted per current slabs. Monthly and annual filings prepared automatically — no spreadsheet archaeology at year-end.
Employee data collected under explicit consent, with purpose limitation, access controls, and data-principal request workflows built in from day one.
Configurable per state — working-hour rules, overtime thresholds, and mandatory rest periods enforced at the attendance layer, not as a year-end compliance check.
Pay-equity reporting surfaced as a standard analytics view — auditable evidence available on demand, not assembled in a panic before inspection.
Concrete scenarios, scoped from real conversations. Each one is a pattern we'd execute on day one.
Tell us where you are. We'll scope it, estimate it, and walk you through exactly how we'd approach it.
Get in touch