← Shiraz Hussein

Concept prototype · Private preview

Qatar National ICV Platform

A concept that reframes In-Country Value from a backward-looking scorecard into a forward-looking planning tool.

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The preview is a gated concept demo with illustrative data, shared for discussion. If you cannot get in, request access through the contact form.


What is ICV?

In-Country Value is Qatar's way to keep more spending inside the local economy. It runs under Tawteen, QatarEnergy's local content programme. Every supplier gets an ICV score. The score measures how much of a supplier's spend stays in Qatar — local staff, local goods, local training, local investment. A higher score gives a supplier an edge when they bid for government contracts.

ICV supports Qatar National Vision 2030. The aim is a more diversified economy that depends less on imports.

The problem I saw

A Tawteen opportunity pulled me deep into ICV. The more I read, the more I noticed a gap.

Today, ICV is mostly a scorecard. A supplier works out their score after they have already spent the money. It is a compliance task. It is done in spreadsheets. It looks backward.

The data also sits in silos. No single view shows the national picture. There is no easy way to model a policy change before making it. And the three parts of the programme — scoring, supplier development, and investment — do not talk to each other.

So I asked a simple question. What if ICV was a planning tool, not just a scorecard?

What I built

I built a platform that answers three questions the current tools cannot:

The platform has five roles: a large supplier, a small supplier, a procurement officer, a certifier, and a policy lead. Each role has its own view and its own tools. There is also a public guest view.

What is real and what is not

I am careful about this, because honesty matters.

In short: real structure, illustrative numbers, real engine. The platform behaves like the real programme. Only the data flowing through it is illustrative.

The AI part

The platform can draft real documents from its own figures — a policy rationale, a supplier submission, a certifier review. It writes in English and Arabic.

The Arabic runs on Fanar, Qatar's sovereign Arabic model. This is a deliberate choice. National data should run on a national model, not a foreign one. The AI answers only from the platform's own data. It does not invent figures.

How I built it

I built this alone, using AI-assisted development. It took a few months of focused time, alongside other work.

The point is not only the platform. The point is the delivery model. One person, working with AI tools, can turn a defined problem into a working system quickly. That is the way I like to work.

See the prototype

The prototype runs as a gated preview: a concept demo with illustrative data, shared for discussion.

Open the preview. If you do not have access yet, request it through the contact form and I am happy to walk you through it.

Built by Shiraz Hussein. Planned with Claude, built with Claude Code, reviewed and tested by hand.