Multi-tenant HR platform built for Bangladeshi SMEs — 120 companies, 98.5% payroll accuracy.
Year
2023
Duration
10 months
Team
6 engineers
Industry
HR Technology
Key Outcomes
100%
40%
60% reduction
HR Admin Time Saved
91% baseline
98.5%
7.5pp improvement
Payroll Accuracy
120+
Across 8 industries
Companies Onboarded
45%
Via self-service portal
HR Ticket Reduction
60%
HR time on data entry
8.5%
Payroll error rate (SME avg)
Common
Leave tracked via WhatsApp
The Challenge
SMEs in Bangladesh were managing HR on spreadsheets or expensive enterprise tools built for foreign markets. Local payroll rules — overtime calculations under the Bangladesh Labour Act, festival bonuses, PF contributions, and income tax slabs — were handled manually, introducing regular errors. Leave tracking was done via WhatsApp messages. HR teams spent 60% of their time on data entry rather than people management.
The Solution
We built Staffly as a multi-tenant SaaS with company-level data isolation. Core modules include attendance (with biometric device sync), payroll (BD Labour Act compliant with festival bonus and tax computation), leave management with approval workflows, employee self-service, and an HR analytics dashboard. The platform is available in both English and Bengali.
Shifted HR teams from spreadsheet management to automated workflows. Average HR team saves 18 hours per payroll cycle. One client scaled from 40 to 200 employees without adding HR headcount.
What We Built
Payroll Engine. Gross-to-net calculation with BD Labour Act compliance: overtime, festival bonus, PF, and income tax.
Attendance. Biometric device sync for 15 models, manual override, shift assignment, and late/early alerts.
Leave Management. Configurable leave types, multi-level approval workflows, and leave balance tracking.
Employee Self-Service. Payslip download, leave requests, profile updates — reduces HR ticket volume by 45%.
HR Analytics. Headcount trends, attrition risk, leave utilisation, and payroll cost breakdown by department.
Multi-Tenancy. Fully isolated company data with role-based access: HR admin, manager, and employee tiers.
Delivery
Month 1–2
Market Research & Architecture
Interviewed 20 HR managers. Mapped BD Labour Act payroll rules. Designed multi-tenant data model.
Month 3–4
Payroll Engine
Core payroll with gross-to-net calculation, BD income tax slabs, festival bonus, and PF logic.
Month 5–6
Attendance & Leave
Biometric device SDK integration, shift scheduling, leave types with custom approval flows.
Month 7–8
Self-Service & Analytics
Employee portal for payslips, leave requests, and documents. HR analytics dashboard.
Month 9–10
Launch & Scale
Soft launch to 10 design partners. Feedback sprint. Public launch to 120 companies by end of year.
Results
Tech Stack
“Payroll used to take our HR team three full days. With Staffly it's done in two hours. The BD Labour Act rules are all built in — we don't have to remember them.”
HR Manager
HR Manager, Dhaka-based Logistics Company
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