How we work

The model is the proof. The interface comes later.

The most valuable work is not drawing a dashboard. It is defining the decision, constraints and validation test that show whether the model reflects operational reality.

Current baselineModelScenariosValidationOperational use
01

Decision and consequence

We start with the last real decision: what triggered it, who prepared the analysis, who approved the plan and what happened when the plan was weak.

02

Formalisation

We define the objective, resources, alternatives, constraints, dependencies, uncertainty and data that actually affect the decision.

03

Baseline

We document how the decision is made today. Without a baseline, we cannot honestly claim that the new model is better.

04

Model and scenarios

We select optimisation, simulation, MCDA or a combination only because it fits the problem. We test scenarios and trade-offs.

05

Validation and robustness

We validate outputs with users, test sensitivity to changing inputs, document model limitations and identify conditions under which the recommendation no longer holds.

06

Operationalisation

If the decision repeats, we connect the model to data and a focused interface. If it does not repeat, we do not build software without a reason.

Validation discipline

Validation is part of the delivery.

Baseline comparison

The model should be compared with the current process, not only with an idealised scenario.

Sensitivity and robustness

We need to know how the conclusion changes when assumptions, priorities or data change.

Model limitations

We explicitly document where the model should not be used and which assumptions must remain valid.

Human in the loop

The accountable person retains the final decision. The model is a testable basis, not an autonomous authority.

XAIOR

Explainability is a selective layer above the model.

For important or contested decisions, natural language can help users understand drivers, trade-offs, sensitivities and reasons behind the output. AI does not replace the solver, optimisation model or simulation.

The analytical engine calculates. XAIOR helps make the result understandable and testable.

Analytical resultXAIORExplainabilityHuman decision

Start with the last real decision.

The current workflow is the best starting point for a model that can be tested.

Describe the decision