Turn a supported planning or decision problem into a usable result. Keep your objectives, mandatory requirements and the meaning of the answer explicit.
A high-scoring plan can still violate a resource limit or fail after the inputs change. An infeasible result is not enough when your team needs to know which changes are permitted.
Define or import the approved model, apply compatible computational methods and check the candidate against the original requirements. Scope explanation, authorized repair or repeat runs where the selected implementation supports them.
A planning team has new resource limits and wants to compare valid alternatives. The engagement defines which requirements must remain fixed, evaluates the supported revised model and returns the result with its checking records.
Your decision variables, objectives, data, mandatory requirements, permitted changes and the baseline you currently use. Existing supported model files can be the starting point.
WHAT WE EVALUATEOriginal-model feasibility, useful objective quality, required proof or completion state, total runtime and correct handling of revised inputs.
A checked candidate does not automatically establish global optimality. A proof applies to the declared model, not unmodeled business conditions. Exact search can finish incomplete when a budget is exhausted.
Choose an evaluation or a qualified production workflow. Compatible methods and shared checks inside its activation scope are included once. Infrastructure is separate.
See plans and deployment scopeAgree the baseline, deliverables, effort and acceptance before implementation. Request managed operation only when it is part of the desired scope.
Discuss an engagementThese are relevant capabilities to evaluate—not mandatory purchases or an assertion that every combination is already integrated.
Tell us what needs to improve, what you use today and which requirements cannot change.