AI readiness assessment
A structured review of your data foundation, governance, and use-case pipeline, ending in a ranked shortlist of what is worth doing and what is not yet possible.
Analytics & AI readiness
AI & Analytics
AI is a data problem wearing a model costume.
Analytics, forecasting, and applied AI built on top of a system of record that can actually support it — starting with an honest assessment of whether your data is ready.
Overview
Most AI initiatives in asset- and project-heavy businesses stall for the same reason ERP programs do: the underlying data does not mean one thing. If the same cost code, project ID, or vendor exists three ways across four systems, no model will fix it — it will just be confidently wrong faster.
We work the other order. Get the system of record and the reporting structures right, prove value with analytics and forecasting on that foundation, then apply AI where it changes a decision somebody actually makes — close variance explanation, project cost forecasting, demand and supply signals, document-heavy back-office work.
Where it fits
Oil & GasEPCIndustrial Manufacturing
Delivery in the field
What we do
Inside AI & Analytics
Analytics & reporting foundation
Oracle Analytics Cloud and EPM reporting built on rationalized project, cost, and entity structures, so the numbers reconcile to the ledger by construction.
Predictive planning & forecasting
Driver-based forecasting and variance explanation applied to close, project cost, and demand — models built on drivers your operators actually control.
Applied AI in the back office
Document-heavy processes such as invoice coding, contract and change-order review, and close narrative drafting, with human review and audit trail designed in from the start.
Outcomes
What clients keep after we leave
Readiness first
No model built on data that cannot support it
Reconciles
Analytics tied to the same numbers finance closes on
Decision-led
Use cases ranked by the decision they change
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Let’s talk about your ai & analytics program
Tell us what it looks like today. We will tell you, plainly, what it would take to fix it — before you sign anything.