A construction labour-supply agency feasibility — 240 deployed staff across 4 contractor clients, B2B recurring revenue model.
A contractor with connections to 3 major GCC construction groups wanted to spin up a labour supply agency — needed a feasibility showing how much working capital was required and what the margin profile really looks like.
Labour supply is simple revenue-wise but brutal on working capital. Clients pay in 60-90 days while labourers need monthly salary + accommodation + food.
Client already had in-principle sign-off from 3 contractor groups at 240 heads total. Demand was real; the question was whether setup economics worked.
A 5-step repeatable process — from brief to investor-ready pack, powered by AI across financial modelling, market sizing & narrative writing.
6 source countries, each with different visa costs, lead-times, retention. Blended recruitment cost of AED 8,400 per head.
Worker camp for 240 heads: rent, food contract, utilities, transportation, medical. AED 1,180/head/month all-in.
60-day invoice terms from clients, 30-day salary commitment, 15-day food and camp bills. Peak working capital need modelled.
Headcount ramp (60 head quarter 1 → 240 heads by quarter 6). Cashflow turns positive quarter 5 if invoicing discipline holds.
Master services agreement, SLA, per-head costing sheet, replacement & cancellation policy. All drafted and ready for client signature.
Each row is a finished tab, slide or one-pager handed to the client — ready to share with lenders, investors or JV partners.
One-page investor-ready narrative
Revenue, COGS, opex, EBITDA by month
Month-by-month to break-even point
Fit-out, equipment, licensing & launch
Per-head accommodation cost
60/30/15 day cash model
Best/base/worst case with levers
Client contract starter pack
Client proceeded with setup. Hit 240 heads deployed by month 7 — ahead of the Year 2 target. Working capital pressure materialised exactly as forecast around month 4.
The cashflow model was explicit enough that the client secured a AED 2.4M invoice-discounting line before it was needed.
Ramp was faster than forecast — the relationship-backed demand was stronger than conservatively modelled.
Feasibility studies, investor pitches, P&L models & market sizing — built with AI in 48 hours, reviewed by 37+ years of GCC retail experience.
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