Project AssureRisk Intelligence · 3-D Monte Carlo QSRA
Three-dimensional quantitative schedule and cost risk analysis across time, cost and performance. Every risk event is modelled against the baseline, correlations applied, and the output is a defensible P50/P80/P90 completion date and contingency.
What it delivers
3-D Monte Carlo
Simulation across time, cost and performance simultaneously. Not schedule risk in isolation.
Risk-driver modelling
Design readiness, approvals and delivery risks modelled as first-class drivers, with correlation matrices.
P50 / P80 / P90 outputs
Exceedance curves that bind each percentile to a decision, working programme, contractual commitment and contingency.
SCL-aligned narratives
Risk narratives that feed EOT, acceleration and contingency-drawdown decisions.
Who it's for
- Sponsors setting contingency and contractual completion dates
- PMOs turning a risk register into a decision tool
- Claims teams quantifying schedule-risk exposure
Frequently asked questions
What is QSRA (Quantitative Schedule Risk Analysis)?
QSRA uses Monte Carlo simulation to model uncertainty and risk events against a baseline schedule, producing a probability distribution of completion dates (P50/P80/P90) rather than a single deterministic date. So contingency and commitments are set on evidence.
How do you choose P50 vs P80?
We bind each percentile to an action: P50 drives the working programme, P80 the contractual commitment and contingency-drawdown rules. The gap between them is the risk budget, owned, spent and reported like money.
Related
See Risk Intelligence on your own project.
A principal responds within 24 hours. No delegation to analysts, no dilution across mandates.
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