Software built and proven for HR platforms, where the data is about people and the decisions are consequential.
Applicant tracking, onboarding, scheduling, payroll integration and performance tooling, built for sensitive data, fair process and the audit trail both require.
What building for HR Tech actually requires.
HR platforms hold some of the most sensitive data an organisation has, and access rules are unusually intricate. A manager sees their own team, HR sees more, an employee sees themselves, and the boundaries change with reporting lines that move constantly.
Where the software influences a decision about a person, hiring, ranking, scheduling or performance, fairness and explainability become requirements rather than aspirations. Automated screening in particular attracts regulatory attention in several jurisdictions.
Payroll adjacency raises the cost of error sharply. A scheduling or time-capture defect does not stay in the HR system; it flows into pay, which makes correctness and correction paths a primary concern.
Where it breaks without care.
Permission models are tested against a static org chart, so reporting-line changes, transfers and acting managers open access paths nobody intended.
Automated screening or ranking is deployed without bias evaluation across demographic groups, creating legal exposure alongside a fairness problem.
Time, attendance and scheduling edge cases, overtime boundaries, shift swaps, leave overlapping a pay period, are undertested despite flowing directly into pay.
Retention and deletion of candidate data is left undefined, leaving personal data from unsuccessful applicants long past any lawful basis for keeping it.
How we deliver it.
Permission models tested against org-structure change, not a static chart: transfers, acting managers, dotted lines and departures.
Fairness evaluation across demographic groups for any feature that screens, ranks or scores people, with the methodology documented for review.
Time, attendance and scheduling edge cases tested to payroll-grade accuracy, since defects there become pay errors.
Candidate and employee data retention implemented against a defined lawful basis, with deletion that actually reaches derived records.
Audit trails covering who viewed and changed sensitive records, sufficient for an employment dispute or a data subject request.
Industry focus areas.
Applicant tracking
Onboarding workflows
Scheduling & time
Payroll integration
Performance tooling
People analytics
Evaluating a build partner?
A two-week scoping engagement covering architecture review, risk mapping specific to hr tech & workforce, and a 90-day delivery plan across build and quality engineering. You keep the plan whether or not you continue with us.
HR Tech questions, answered.
What is hardest about HR platform permissions?
That the org chart moves. Permission models tested against a static structure break on transfers, acting managers and dotted-line reporting, which is exactly when unintended access appears.
Do AI screening features carry legal risk?
In several jurisdictions, yes. Anything that screens, ranks or scores candidates attracts fairness and explainability obligations, so bias evaluation across groups and documented methodology should be part of the build.
How careful do you need to be with payroll-adjacent features?
Very. Time, attendance and scheduling defects flow straight into pay, so those edge cases, overtime boundaries, shift swaps, leave spanning a pay period, need payroll-grade coverage.
Built for HR Tech,proven before launch.
Senior engineers who know where this sector breaks, and the quality engineering to prove your build does not.