Turn your risk register into numbers. Thousands of iterations over your mapped programme give a confidence-banded completion forecast — P80/P90, an S-curve, and the risks that move the date most.
10,000 iterations · PERT distribution · 24 risks mapped
controlsiq.com/dashboard/risk/monte-carlo
P50 completion
10 Sep 2027
+18 wd
P80 completion
06 Oct 2027
+34 wd
P90 completion
25 Oct 2027
+47 wd
Completion S-curve · cumulative probability vs delay (working days)
Post-mitigationPre-mitigation
Tornado — most impactful activities · mean delay contribution (working days)
Earthworks — Cut to Fill (rock)
12.4d
Bridge B-07 — Bored Piling
9.1d
Drainage Mainline — Section 3
7.8d
Utility Diversions — HV cable
5.6d
Asphalt Wearing Course
4.2d
Retaining Wall RW-3
3.1d
Quantified, not assumed.
Map your risks to programme activities, choose a distribution and iteration count, and get a confidence-banded completion forecast.
Confidence-banded completion dates from thousands of iterations over your programme.
Completion S-curve
Cumulative probability against delay, with P80/P90 reference lines marked.
Activity & risk tornado
See which activities — and which risks — move the completion date the most.
Pre vs post-mitigation
Overlay the register before and after response strategies to value your mitigation.
Choose your model
PERT, triangular, normal or uniform distribution; up to 10,000 iterations.
Built on your register
Runs on the risks you mapped to activities — not a generic assumption set.
Illustrative demo with sample figures. A simulation is only as good as the risk register behind it — map risks to activities and review the assumptions before relying on the output.