Decision Intelligence focuses on how decisions are made when outcomes are uncertain, constraints are real, and trade-offs are unavoidable.
Rather than optimizing isolated metrics or producing predictions in isolation, it provides a structured way to choose between options, understand risk, and justify action.
Clarify options, constraints and success criteria
Simulate scenarios
and asses risks
Model the Uncertainty
Deliver clear, data-driven recommendations
Recommend & Quantify
We conduct Decision Studies: short, focused engagements designed to support a single, high-impact decision.
Each study clarifies the decision context, identifies feasible alternatives, and models uncertainty and constraints to compare options using transparent assumptions.
The result is a clear recommendation, supported by explicit assumptions and trade-off analysis.
Uncertainty.
Risk.
Trade-off.
Compare benefits and risks between alternatives to make justified decisions.
A Decision Study is a structured analysis of a real decision
It focuses on comparing options, risks, and trade-offs for critical business outcomes.
Who is it for?
Ideal for decision-makers, managers, and technical leaders facing impactful choices.
Example Decisions
Maintenance strategy, resource allocation, scheduling, or policy selection, all under real-world uncertainty.
What do clients receive?
Clear recommendations, transparent assumptions, and sensitivity analysis, providing confidence and clarity for the path forward.
“This is not about finding the perfect answer”
It’s about choosing the best option given what we know and don’t know.
Areas of Work
Strategy & Policy Selection
Resource Allocation & Capacity Planning
Operations Planning, Scheduling & Rostering
Energy Systems & Production Planning
Maintenance, Reliability & Lifecycle Decisions
Scenario Analysis & Trade-Off Evaluation
Explore real decision studies
Maintenance policy selection under failure uncertainty
Evaluating maintenance strategies using risk-aware cost and failure uncertainty modeling.
Crew scheduling under constraints and variability
Designing feasible and fair crew schedules under operational constraints and demand variability
Gas Distribution Planning Under Network Capacity Constraints
Optimizing gas distribution flows through a constrained network to meet client demand at minimum operational cost.
Other Proposed Decision Studies
Preview real-world decision challenges
Energy Storage Dispatch Under Price Uncertainty
When to charge/discharge storage given volatile prices and capacity limits.
Production Planning Under Demand Uncertainty
What to produce, when, and how much capacity to commit.
Infrastructure Investment Phasing
Build now vs later vs never under demand and cost uncertainty.