Decision Optimization & AI
A focused ILP and AI asset-decision practice that turns repair-or-replace and capital-renewal calls into auditable, budget-constrained plans you own.
Outcomes
- A defensible repair, replace, or renew decision for every asset, made under your capital ceiling
- A whole-life-cost ranking your finance and engineering teams both trust
- The model, its assumptions, and its data handed over as code you can run and change
How it works
You bring the fleet, the budget, and the constraints you actually operate under. We build an integer-linear-programming model that ranks every repair, replace, and renew option against your capital ceiling and your risk tolerance, and returns a plan you can defend line by line.
The work runs through our D2D Line — FRAME, DESIGN, PLAN, BUILD, VERIFY, SHIP. We pin the decision the model has to make and what "done" looks like before we build it. We design the formulation and get your sign-off. We build it test-first, prove it against your own data, and hand it over.
This is Modeling and Operations Research depth applied to one problem: the asset-decision call. It is not discrete-event simulation, and it is not a reliability-centered-maintenance program. It is an optimization model, built to be inspected.
What you own at the end
The model, the data pipeline that feeds it, and the test suite that proves it are yours — source and all. There is no platform to rent and no runtime that ties you to us. A migration or a re-run next budget cycle is something your own team can do.
FAQ
Do you need our historical cost data? Yes — the model is only as good as the cost, condition, and risk inputs you can give it. Part of the engagement is pinning down which of those you have and which we approximate, in writing, so the result is honest about its own confidence.
Is this a one-time study or something we keep using? Either. Because you own the model, you can re-run it each capital cycle with updated inputs. Many teams start with a single fixed-scope decision and keep the tool.
How is it priced? Fixed-scope, fixed-fee per decision engagement. You know the shape of the work before it starts.
Proof
- Optimization track record on regulated utility and energy fleets
- Models built to survive a finance and regulatory review, not just an internal sign-off