Payforce: one office system instead of five task-specific ones.
An HR and payroll management platform built with React, Django and DigitalOcean, for an operation that had accumulated a separate tool for every people process. Most HR software is task-specific, which leaves offices running several systems that each hold part of the truth about an employee. This one puts records, scheduling and payroll on a single employee model.
The challenge.
- Different people processes had been solved by different tools, so an employee existed several times over with no agreement on which record was authoritative.
- Because each system held a fragment, routine questions — who is working, what are they owed, what changed last month — required assembling an answer by hand.
- Payroll depends on data that other processes produce, so every gap between systems became a manual reconciliation step with a deadline attached.
- HR data is among the most sensitive a business holds, so consolidating it raised the stakes on access control rather than lowering them.
Our approach.
- Modelled the employee once in Django and made every other concern — scheduling, records, payroll inputs — reference that single entity rather than maintaining a parallel copy.
- Built the interface in React around the tasks an administrator actually performs in sequence, rather than mirroring the structure of the systems being replaced.
- Made payroll consume scheduling and records data directly, removing the re-keying step that existed only because the systems could not talk to each other.
- Designed role-based access from the start, so consolidation narrowed who could see sensitive data rather than widening it — the risk that makes people avoid consolidating in the first place.
- Deployed on DigitalOcean with a deliberately simple operational footprint, matching a system that must be dependable and predictable rather than elastic.
The outcome.
- An employee is represented once, so the record is authoritative rather than one of several.
- Payroll draws directly from scheduling and records instead of being re-keyed from them.
- Routine questions are answered from the system rather than assembled across tools.
- Access to sensitive data is narrower after consolidation than it was across the separate systems.
Where AI fits in hr & workforce.
Assistants that answer staff questions from your HR policies, job descriptions drafted to your standards, and screening support designed to be explainable and checked for bias.
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Start from the employee record, not the features. The reason multiple tools hurt is that each holds a partial version of the same person, so the first job is defining one authoritative employee entity that everything else references. Feature migration is the easy part; agreeing which system was right when two disagree is the hard part, and it needs to be settled during discovery rather than during cutover.
Role-based access designed in from the start, with the default being no access rather than full access. Consolidation is a genuine opportunity here: separate systems usually accumulate over-broad permissions because each was secured independently, so bringing them together lets you narrow access overall. Add audit logging on sensitive record views, and retention rules that actually delete rather than merely hide.
They can share a system, and often should, because payroll's inputs are what the rest of HR produces — hours, absence, changes to terms. Keeping them separate means re-keying that data on a monthly deadline, which is where errors come from. What must stay separate is the calculation logic: payroll rules should be isolated and independently testable even inside one platform, because they change on legislative rather than product timelines.
It depends far more on the payroll rules in scope than on the size of the feature list. Records and scheduling are well-understood problems; payroll varies by jurisdiction, employment type and the specific agreements in place, and every variation is a rule that has to be right rather than approximately right. We scope the payroll surface carefully before committing to a timeline, because that is where the real work is.
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