A Mobile-Web Platform for Private Security Workforce Onboarding, Job Allocation, Attendance Verification, and Compliance Management

Abstract

Introduction: The tools used in staffing, rostering, attendance monitoring, and licensing compliance are usually fragmented and this makes visibility across deployments low and payroll conflict and compliance risks high. This paper introduces VigiloX which is an end-to-end mobile-web application that brings together guard onboarding and verification, job posting and assignment, roster assignment, evidence-based attendance (geographically contextual and photographic), and audit compliance records. We employ a design science research approach to come up with a domain-specific workflow model of guarding operations and traceability-by-design data model, which connects job slots, guard identities, attendance events, and compliance artefacts across modules. The artefact was tested at a module level with functional test cases and end-to-end workflow scenario, such as job posting and approvals, all the way to check-in/out and payroll-ready time summaries. The findings indicate that VigiloX is capable of sustaining integrated workforce security operations and enhancing the auditability and downstream payroll and reporting preparedness.

Objectives: To present VigiloX as an integrated, auditable platform for private security workforce operations and to propose a domain-specific workflow and traceability-by-design data model.

Methods: Design science research with iterative build–evaluate sprints; requirements mapping and modular decomposition; implementation with role-based access and shared data entities; functional and end-to-end scenario validation.
Results: The platform supported end-to-end workflows from job posting and approvals through attendance evidence capture and payroll-ready summaries; scenario tests and stakeholder walk-throughs indicated consistent traceability across modules.
Conclusions: Integrating onboarding, rostering, attendance and compliance in a single platform improves auditability and reduces ambiguity created by fragmented tools.