Horizon
FII · intelligence
AI Command Center
natural-language scenario construction and simulation
How it works
from prompt to simulated impact
- 1 · Describe the shock. Ask in plain language — sanctions, rate moves, FX depreciation, banking stress, commodity or trade disruption.
- 2 · Review the proposal. The engine returns a structured scenario: type, severity, duration, affected locations and asset classes, plus every driver assumption with a confidence rating.
- 3 · Run it. The deterministic transmission model propagates the shock through country, currency and asset-class exposure to every institution.
- 4 · Trace the result. Each output links back to the assumptions that produced it, so nothing is a black box.
Coverage
what the model can reach
Geography
31 financial centres with GDP, banking assets, FX exposure and risk scoring.
Institutions
Banks, sovereign funds, asset managers, insurers and pensions with full exposure books.
Asset classes
Beta-sensitised classes spanning rates, credit, equity, real assets and alternatives.
AI Command Center
natural-language scenario construction
Every scenario produced here is a simulation from stated assumptions — not reference data or a forecast.