Services

Prove value first. Build software only when the decision repeats.

An engagement can begin with a clearly bounded problem and model validation. When the result shows practical value, the solution can be extended into a full model or a decision-support application where needed.

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01 Sprint02 PoV03 Model04 Application05 Support
01

Decision & Modelling Sprint

For a company that knows the process is painful but does not yet have a precise specification. We map the decision, current workflow, objectives, constraints, data, process owner and business consequence.

Typical outputDecision map / model design / PoV recommendation
02

Analytical Proof of Value

A limited model using real or representative data documents the baseline, compares scenarios and tests result sensitivity.

Typical outputValidated PoV / scenario comparison / limitations / next step
03

Optimisation or simulation engagement

For a proven problem that requires a fuller model, data flow and validation with users.

Typical outputModel / validation / scenario analysis / recommendations
04

Decision-support application

For a decision that a planner or manager needs to repeat. The model receives a focused interface, controlled inputs, scenario work and result explanation.

Typical outputOperational tool around a validated engine
05

Model Support / Evolution

For changes in data, rules, scenarios, integrations and operating practice after the model becomes part of the process.

Typical outputModel maintenance and controlled evolution

Software gate

An application is not the automatic next step.

If the decision is one-off, the engagement may end with analysis, a model and a recommendation. Software makes sense only when there is a workflow owner and a need to recompute the same decision with new data.

Pricing and scope

Pricing follows scope and value, not a generic day rate.

Sprint and PoV work are defined through a clear, bounded scope. A full model, application and support are estimated according to the actual problem scope, data, integrations and expected delivery.

Start with a bounded decision.

The first useful question is whether the decision is valuable enough and structured enough to test.

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