Monte Carlo Simulation
We model the uncertainty surrounding key variables as probability distributions, and simulate thousands of combined scenarios to produce a distribution of possible outcomes, rather than a single point estimate.
We model the uncertainty surrounding key variables (costs, revenues, timelines, rates) as probability distributions, and simulate thousands of combined scenarios to produce a distribution of possible outcomes — rather than a single point estimate — thereby supporting investment and budgeting decisions with a realistic assessment of risk.
Risk management only creates value when it supports decision-making, prioritisation and accountability.
The deliverables are designed for practical use, not just for filing.
A 30-minute conversation to assess priorities and draw up a practical plan — together.
Frequently Asked Questions
It is a statistical technique that tests thousands of possible combinations of uncertain variables to show the range of likely outcomes of a decision, along with their respective probabilities — which is far more informative than a single predicted scenario.
We work in stages: initial assessment, setting priorities, practical implementation and ongoing monitoring with clear indicators of progress.
Timeframes vary depending on the size and maturity of the organisation, but the initial assessment usually takes 2 to 4 weeks before we move on to implementation.
Let’s assess your priorities and draw up a practical plan — together.
