---
title: "AI for HR | Attendance, Rostering, Approvals and Payroll - AI GO"
description: "Bring attendance reconciliation, approval chasing, rostering and payroll into one system. AI GO provides HR management and talent modules generated from your own shift and pay rules — no need to change policy to fit software."
keywords: "HR AI, HR system, shift scheduling, attendance management, payroll automation, AI GO"
canonical: "https://www.ai-go.app/en-US/solutions/hr"
locale: "en-US"
source: "AI GO（https://www.ai-go.app）"
---

# AI for HR

Half of HR’s time goes on reconciling clock-ins, chasing approvals and calculating overtime. AI GO runs employee records, attendance, shifts and payroll on one system so HR can get back to hiring and retention.

- **Automatic** attendance anomalies and leave clashes flagged
- **One pass** rosters built without endless revisions
- **Monthly** payroll calculated from your own rules

## 現況痛點

### Month-end reconciliation is punishing

One file from the clock, one for leave, one for overtime. All three have to be matched by hand, and every retroactive punch, overnight shift or public-holiday swap becomes a manual calculation.

### Nobody knows whose desk an approval is on

Leave, overtime and travel requests go out on paper or through chat, then vanish. When staff ask, HR has to chase managers one at a time.

### The roster is permanently being redone

Shift teams are scheduled in Excel. One person calls in sick and the whole sheet is rebuilt — then everyone has to be told individually, and not everyone reads it.

### Talent data lives in a folder of CVs

Candidates interviewed, internal promotions and training history are all kept separately. When it is time to review the workforce, the only source is what HR happens to remember.

## 導入前後對照

**Before**

- Clock-ins, leave and overtime reconciled by hand at month-end
- Approvals run on paper or chat; status has to be chased
- Rosters built in Excel and rebuilt on every change
- Payroll calculated and checked line by line
- Talent and training records scattered across files

**With AI GO**

- Attendance data is consolidated and anomalies flagged
- Approvals run online with visible stages and status
- Rosters live in the system; a change touches only who it affects
- Payroll calculated from your rules, with people reviewing
- Employee history consolidated and reportable at any time

## AI GO 對應能力

The core HR system can stand alone. If you already run another HR platform, connect the sync module and simply bridge the data.

### Your shift rules, not someone else’s

Rotating shifts, two-shift operations, exempt roles, flexitime — every company differs. Rather than changing your policy to suit the software, the app is generated from your actual rules.

### Layered access for pay and personal data

Who can see salary, who is limited to their own department, who exported a roster — all scoped and logged. The sensitivity of HR data is handled at the platform layer.

### Approvals and reminders that do not rely on memory

Leave clashes, overtime thresholds, probation end dates, certification expiry — configure each once and the system raises them.

### Keep the HR system you have

Already on something like MAYO Apollo? Connect the sync module to bridge the data and evaluate consolidation on your own timeline.

## ROI 試算

For an 80-person company with a two-person HR team at an average loaded rate of NT$340/hour, here is the monthly labour cost you can recover:

| 作業項目 | 每月人工工時 | 時薪 | 每月可省 |
| --- | --- | --- | --- |
| Reconciling attendance and leave | 32 | NT$340 | NT$10,880 | <!-- Concentrated at month-end -->
| Chasing and tracking approvals | 18 | NT$340 | NT$6,120 |
| Building rosters and notifying changes | 24 | NT$300 | NT$7,200 |
| Payroll calculation and checking | 20 | NT$420 | NT$8,400 | <!-- Requires senior staff -->
| HR reporting and workforce review | 12 | NT$420 | NT$5,040 |

## 常見問題

### Our shift rules are unusual. Can the system handle them?

This is exactly where AI GO differs from packaged HR software. Packaged tools sell you someone else’s shift logic and expect you to adapt; AI GO starts from how you actually schedule and calculate, then generates to that. Unusual rules are the default assumption, not a paid extra.

### How secure is payroll data?

Layered access is a platform capability: who can see salary fields, who is scoped to their own department, and who exported a roster are all controlled and logged. Deployment shape can also be discussed against your security requirements.

### We already run an HR system. Must we replace all of it?

No. Start with whatever hurts most — usually rostering or attendance reconciliation — and bridge the rest through the sync module. Decide how far to consolidate once you have seen it work.

### Could payroll go wrong during the transition?

Adoption includes a parallel run against several past periods of your real data; you only switch when both sides agree. That is the standard Forward Deployed Engineer approach — nobody asks you to go live unverified.