A workforce-management platform built with an embedded team

ENOVIS is a software consultancy based in Aruba. Their end-client runs a janitorial services operation with multiple service lines (window cleaning, pool filter maintenance, recurring cleaning contracts) and a constantly shifting staff roster as people move between projects or take time off.

Without a system, the operational complexity compounded: which janitor is on which project today, what supplies were consumed, whose wages apply to which contract, and how to keep cost tracking accurate when staff change mid-job. The brief was a custom platform that owned project and staff management end-to-end and gave the consultancy real-time visibility for the janitorial client.

The engagement is a Dedicated AI Engineering Teams arrangement: ENOVIS extends its delivery capacity with Leanware engineers, the embedded team takes ownership of the workforce platform build, and ENOVIS retains the client relationship.

The platform tracks projects, staff, and resources across the janitorial operation. Cost tracking ties wages and supplies to specific projects, including wage variations when staff change mid-contract. Real-time visibility shows project status, staff location, and resource utilization in one view, so the operations manager runs the day from the platform rather than from spreadsheets and phone calls.

Tech stack: Python, React.js, Google Cloud Platform, Django. User flows were designed against the consultancy's business management needs rather than against generic workforce-management patterns.

ENOVIS came out of the engagement with a transparent staff-assignment system, accurate cost tracking, and real-time operational visibility for their janitorial client. The dedicated-team model held. Marilinda Cores, Director at ENOVIS Business Optimisation, has been on record on Clutch describing the engagement; the verbatim quote is published on /testimonials.