CASE STUDY: Automated Workplace Risk Diagnostic Platform

Client Location: United Kingdom

Project Budget: £9,000 (Fixed Price)

Implementation Timeline: 5 Weeks (120 Hours)

Role: Lead Low-Code Architect & Backend Integrator


1. Project Executive Summary

A UK-based workplace compliance consultancy required a secure, automated, and scalable diagnostic platform to assess employers' workplace risk profiles. The platform needed to automate the entire client journey—from direct debit payment and survey intake to scoring, report generation, and annual renewals—with zero manual intervention.

To support a three-phase product roadmap, the underlying data schema, audit trail logging, and data anonymization rules had to be designed with production-grade security from day one.


2. The Core Technical Challenges


3. The Solution & Technical Architecture (Macro View)

To deliver a zero-maintenance, production-grade platform, the system is designed as an ecosystem of four interconnected, asynchronous Make.com scenarios. This architecture isolates processes, handles API rate limits independently, and prevents a single system failure from halting other platform operations.

Proposed 4-Scenario Ecosystem: