ZapHRMS • Zap Assistant
Ask your
HRMS.
Not AI for the sake of AI. Zap Assistant helps users find and work with workforce information conversationally — on top of your HR data, with your permissions.
We introduce it after the core platform — because AI should extend a solid HRMS, not replace it.
Natural queriesPermission-awareAction where supported
◆Zap AssistantDEMO
Zap Assistant: Try — “Who is absent today?” or “Show employees whose probation ends this month.”
Positioning
AI that works
with your HRMS.
Zap Assistant is placed after you understand the platform — it’s an accelerant, not the product.
Find quickly
Locate employees, attendance, leave, documents by asking — not hunting through menus.
Respects permissions
Answers are scoped to the user’s role and tenant — same controls as the rest of the platform.
Do, not just show
Where supported, the assistant can navigate or trigger the underlying workflow — not a chatbot façade.
What we don’t claim: Generic “AI-powered” buzzwords, fake automation demos, or data beyond your tenant. Examples above are only capabilities actually supported.
Example interactions
You
Who is absent today?Zap Assistant → “Today, 6 people are marked absent. 3 on approved leave, 2 not checked in, 1 on shift off. Want the list?”
You
Show employees whose probation ends this month.Zap Assistant → “12 employees have probation ending in August 2026. By department or manager?”
Integration, not isolation
The assistant reads the same people/time/payroll data you already see in screenshots — dashboard.webp, people.webp, payroll-dashboard.webp — not a separate AI store. If a user can’t see a field in the product, they can’t ask it via assistant.
The assistant reads the same people/time/payroll data you already see in screenshots — dashboard.webp, people.webp, payroll-dashboard.webp — not a separate AI store. If a user can’t see a field in the product, they can’t ask it via assistant.
See Zap Assistant with your data.
Book a short walkthrough — we’ll demo the assistant on an anonymised dataset, not a scripted video.