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ERPStack

员工流程

Attendance

Attendance records, corrections, shifts, rosters, anomalies, device imports, period locks, and labor coverage evidence.

已实现 Evidence-first module page
Primary users
Employee Supervisor HR operations Payroll officer
/app/attendance/management
App-derived visual
Attendance management workspace
Open app route
Records
Device aware
Corrections
Approval gated
Anomalies
Reviewed
区域 状态 证据
Records Imported + manual Checksum proof
Shifts Roster ready Assignment history
Locks Payroll protected Period evidence

核心流程

What the module helps operators complete.

Each workflow is written as an operational path, not a marketing claim, so buyers can understand the day-to-day module fit.

Step 1
Review attendance records and correction requests
Step 2
Manage shifts, rosters, and assignments
Step 3
Import device records and detect anomalies
Step 4
Lock periods and feed payroll readiness

Feature checklist

Capabilities grouped the way operators look for them.

3 capability groups

Attendance capture

  • Records
  • Corrections
  • Device imports
  • Anomaly review

Shift operations

  • Shift templates
  • Assignments
  • Roster planning
  • Labor coverage

Payroll readiness

  • Period locks
  • Exception reports
  • Device provider readiness
  • Audit proof

Connected module map

How this module exchanges business context with the rest of ERPStack.

Module 关系
人力资源 Employee identity, department, and manager context
薪资 Worked time, corrections, locks, and pay-period inputs
Overtime Attendance candidates and overtime pressure
安全运营 Device/provider anomaly and sensitive export visibility

Governance and reporting

Controls and management visibility expected from a serious ERP module.

治理
  • Correction approvals
  • Period lock controls
  • Device import checksums
  • Anomaly evidence
报表
  • Attendance summary
  • Labor coverage
  • Anomalies
  • Device import evidence

AI coverage policy

What ERPStack can honestly claim for this module today.

AI claims are tied to the official Agent Tool Registry, evaluation evidence, safe-mode controls, and scheduled-agent monitor readiness. Roadmap modules only show planned coverage until module-native tools are implemented.

AI L3 ready
Coverage claim Current AI coverage: Attendance L3/L3 ready through the official Agent Tool Registry.
Governance evidence Governance evidence: 6 registered tools, 9 evaluation cases, tenant/RBAC/safe-mode registry controls, and AI log evidence.
Scheduled monitor Scheduled monitor readiness: not in the current proactive-agent monitor wave.
L4/L5 boundary Remaining L4/L5 gap: no autonomous execution or self-optimizing agent behavior is claimed; write paths remain permissioned, previewed, and confirmable.

Evidence-first standard

Module pages explain value, workflow, control, and proof in one place.

This page structure supports the current public module catalog with app-derived visuals, connected-module evidence, governance proof, and report context that can be compared against real product routes.

Feature clarity

Buyers can see concrete function groups instead of vague capability claims.

Operational fit

Workflows, users, and connected modules show where the module belongs.

Governance proof

RBAC, audit, SIEM, approvals, and reporting are surfaced as first-class concerns.

Review path

Public pages link back to app routes so reviewers can compare page claims to product surfaces.