Attendance arrives in real time from the office biometric device. Leave follows your own rules. Hiring is assisted by AI and decided by HR. Everything waiting for a decision sits in one inbox.
A late mark is recorded after 10:15. 3 late marks in a month = half a day of leave without pay. 6 = one full day.
Balances are kept as a ledger, so every credit and debit can be traced.
Interactive preview with fictional sample data.
Who is in, who is late, who is on leave, and every request waiting for HR, in one view.
Shifts, grace minutes and late-mark rules, previewed in plain language before they apply.
Approved and pending leave for the whole team, by month.
Screens from the Xifdesk product. Names, clients and figures are sample data.
Each employee has one record that attendance, leave, payroll, reviews and the employee portal all read from, so HR never types the same person twice.
Every resume is scored against the opening’s must-have skills, with the evidence behind each score. HR approves the shortlist, then an AI voice agent calls approved candidates, asks your screening questions and returns a transcript, scores and an outcome.
Fictional sample data.
QuestionTell us about the largest React codebase you have worked on.
AnswerA logistics dashboard with around forty screens, which I moved to TypeScript over two quarters.
Must-have skills, interview rounds and a public apply link for LinkedIn and job portals.
From the apply form, referrals and bulk resume import, with duplicates merged automatically.
AI scores every resume with evidence. HR approves the shortlist.
AI screening calls, self-booked interview slots and scorecards for every round.
Offers go to a director for approval and are signed electronically.
The candidate uploads documents, HR verifies them and converts the candidate into an employee.
A walkthrough shaped around your teams: how sales, client conversations, people, payroll and delivery would work together on Xifdesk.
