Oil & Gas
Analytics and AI for commercial, exploration and production teams. Start with one decision and measurable criteria.
Proposed applications, scoped to your data and operating constraints.
01 / Engineering · operations · maintenance
Identify deviations and prioritise asset reviews.
Indicators, explainable alerts and production scenarios.
Production history, sensors, laboratory and work orders.
Out-of-time comparison against a baseline and review by engineering owners.
02 / Commercial · planning · procurement
Connect volume, margin, contracts and inventory.
Commercial analysis and planning proposals with stated assumptions.
ERP, orders, invoices, costs, inventory and supply lead times.
Indicator reconciliation and scenario evaluation against the current process.
03 / Operations · technical teams
Retrieve evidence and reduce manual report preparation.
Document assistants and drafts for review.
Manuals, procedures, field reports and approved records.
Answer accuracy, source retrieval and human approval of actions.
Data. Connect operational and business records.
Sources: systems, documents and field signals.
Agree interfaces with data and OT teams: ERP, historians, SCADA exports or APIs, depending on available access.
Define access, hosting, retention and confidentiality requirements before connecting sources.
People review recommendations. Industrial control remains with the authorised operations team.
How we start
One decision, a clear scope and agreed success criteria.
Discovery. Agree the decision, data sources and scope.
Deliverable: data map and work plan.
Next step
Tell us which decision or process you want to improve.
