Case Studies
PolicyGyeonggi Provincial AssemblySuwon, Korea

Provincial Assembly Policy Impact Analysis

AI-powered policy simulation for legislative decision support

Problem

Predicting impacts of complex policy proposals was difficult. Legislators often relied on debate without sufficient data-driven evidence for policy decisions.

Decision to Make

What effects will this policy have? Which is better compared to alternative policies?

Inputs (Data)

1Current budget and expenditure data
2Demographics and demand forecasts
3Historical similar policy performance
4Stakeholder opinions (qualitative)

Approach

Built policy simulation framework to compare expected effects across scenarios. Visual dashboard enabled legislators to intuitively understand trade-offs.

Deliverables

Policy recommendation summary (Decision Brief)
3-5 alternative scenario comparison (Scenario Pack)
Methodology and data source documentation (Audit Pack)

Result

Activated data-driven policy discussions. Improved decision transparency. Used for constituent communication.

Time-to-Value

2-week diagnostic + 6-week build

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Gyeonggi Provincial Assembly