Rehearse the decision
before you make it.

“If we tighten credit policy by 12 points, how many SMEs lose access, and which of them are misclassified?”

384,000 cohorts modelled. 1,924 policy variants compared.

“If a tier-1 customer defaults, which exposures cascade, and what does our capital position look like in 6 weeks?”

Counterparty graph. Stress propagation. Capital reserve trace.

“If we shift surgical capacity from elective to emergency for six weeks, what happens to morbidity in the deferred cohort?”

Twelve-week projection. Ethics framework documented.

“If we expand a screening protocol to a younger cohort, what is the population-level mortality benefit versus the over-diagnosis cost?”

Population scale. 25-year horizon. Equity decomposed.

“If we redirect this twelve-year regional investment programme to renewable infrastructure, what is the income distribution in 2046?”

Forty-year horizon. Parliamentary audit ready.

“If we phase out fossil-fuel subsidies over six years, which regions need active labour-market support, and when?”

Regional unemployment. Transition path. Fiscal impact.

“If we rotate a sleeve of the portfolio out of fossil fuels and into infrastructure resilience, what is the multi-decade outcome distribution?”

Multi-decade projection. Risk decomposition. Currency-regime aware.

“If a major transmission node fails during peak winter demand, which substations carry, and what is the residual load shed?”

Grid topology. Cascade simulation. Resilience trace.

“If a reinsurance counterparty exits the market, what is the cost of rotating exposure, and over what time?”

Counterparty churn. Rotation cost. Time-to-cover.

“If we order a dual-fuel fleet instead of LNG, how does the order book hold up across three decarbonisation regimes and a methanol-price shock?”

25-year fleet life. CII / FuelEU trajectory. Stranded-asset risk decomposed.

“If the canal closes for six weeks in peak season, which charters protect margin and which break it?”

Voyage economics. Charter rotation. Per-leg provenance.

“If we shift 18% of capability spend from manned platforms to autonomous systems, how does readiness evolve across three threat regimes?”

Capability portfolio. Readiness lattice. Doctrine compatibility.

“If a tier-1 sub-supplier exits the country, which programmes lose readiness, and over what time?”

Industrial-base graph. Readiness trace. Sovereign-capability gap.

“If we add a 312-satellite Ka-band shell, how does collision-avoidance budget evolve, and which orbits become economically unviable?”

Conjunction simulation. Δv budget. ITU defensibility.

“If a primary launch provider slips by 9 months, what does the manifest look like, and which missions become non-viable?”

Launch cadence. Payload-slip cascade. Mission triage.

“If we expand the autonomy envelope to night operations, what happens to incident rates, insurance and workforce reallocation?”

ODD expansion. Safety case. Workforce-impact projection.

“If the deployed fleet doubles in 18 months, where do utilisation, maintenance and unit economics break first?”

Capital lattice. Downtime curve. Failure-mode decomposition.

“If we deploy the learned policy with on-line adaptation, where does sim-to-real transfer hold, and where does it silently degrade?”

Transfer-gap map. Abstention surface. Ledgered policy updates.

“When humans, deterministic controllers and learned policies share the loop, which actions get attributed to which controller, and what does liability look like?”

Hybrid-control attribution. Audit trail. Liability surface.