Understand
A decision brief grounded in your business
Work with the people making the decision. Understand the current process, the outcomes that matter and the commitments that must hold. Agree what a useful solution needs to do.
Understand your business.
Build for its decisions.
Your processes, priorities and commitments shape what a good decision looks like. We work with you to model the choices, explore scenarios and optimise feasible options, then develop software that fits the way your team works.
Model
A model of your decision and its context
Represent the decisions available, how they affect one another and the rules they must respect. Check what your data can support and make assumptions and gaps visible.
Explore
Scenarios you can compare with your current process
Explore realistic alternatives and changing conditions. Compare them with the way you work today, including effects on other teams, resources and commitments.
Optimise
Feasible choices with clear trade-offs
Find feasible options and show how their outcomes differ. Improving one goal can affect another. Keep mandatory requirements protected and help your team choose an acceptable trade-off.
Develop
Decision software shaped around your workflow
Develop and adapt the software around your data, rules, existing systems and approval process. Validate it with the people who will use it, and refine it through feedback. Your team retains the authority to act.
Feasible first.
Preferred second.
Some conditions are requirements. Others express a preference. A plan that breaks a mandatory limit cannot become acceptable just because it scores well on another goal. The energy example below illustrates this distinction.
An energy planning example
Three illustrative operating plans. Compare cost and carbon while keeping grid capacity and delivery commitments protected.
Protected limits
Peak demand up to 80 kW Delivery commitments met Cost index up to 100
Plan A
Outside the limits- Peak kW
- 95
- Cost index
- 70
- Carbon index
- 60
Exceeds grid capacity, even with the lowest cost.
Plan B
Fits your priority- Peak kW
- 75
- Cost index
- 85
- Carbon index
- 90
Lower cost, with a higher carbon index.
Plan C
Feasible alternative- Peak kW
- 80
- Cost index
- 95
- Carbon index
- 65
Meets the limits with a different balance.
Plan B fits this priority. Plan C offers lower carbon at a higher cost. You choose the acceptable trade-off.
Synthetic values explain the method; they are not project results or forecasts. Real decisions must also account for recovery, uncertainty and site-specific operating limits.
Different settings.
Different decisions.
These illustrative decision contexts show how goals and limits differ. They are starting points for a conversation; our portfolio identifies the work we have undertaken and its current stage.
| Decision context | Goals to consider | Limits to protect |
|---|---|---|
| Industrial energy | Flexibility · cost · emissions | Safety, quality and production |
| Data centres | Compute · cooling · energy · heat | Service levels and backup reserves |
| Supply chains | Delivery · inventory · cost · resilience | Lead times, supplier capacity and obligations |
| Industrial processes | Output · quality · resource use | Safety, process sequence and recovery |
| Workplace | Space · collaboration · employee needs | Capacity and organisation policy |
| Facilities | Availability · comfort · maintenance | Asset condition, access and safety |
| Networks | Flow · capacity · reliability | Connectivity, bottlenecks and service commitments |
Evidence matters.
People decide.
A model makes assumptions explicit. Where evidence is missing, the next step may be measurement or validation. Where several plans work, people choose the acceptable trade-off and retain the authority to act.
What needs to change
in your operation?
Your goals, processes and commitments
are where we start.