Revenue statement support
Organize statement files, owner backup, remittance context, prior-period comparisons, and questions that need finance review.
Stewardship.IS
Oil and gas back-office AI for the work teams already review.
Stewardship.IS helps oil and gas teams use AI where the work is repetitive, source-heavy, and reviewable: JIBs, AFEs, revenue statements, owner files, shared drives, reporting packets, and recurring exception queues.
Workflow automation
The back office is often the best first AI pilot.
Many oil and gas AI projects start too far away from the work people can verify. Back-office workflows are different. The team can compare AI-assisted output against source documents, current review habits, and the exceptions that already slow down month-end work.
Workflows that can become AI-ready.
JIB and AFE review
Summarize support, compare recurring charges, flag unusual items, route missing documentation, and keep human approval in the loop.
Owner and land file organization
Make title support, correspondence, ownership decks, division order context, and historical files easier to find and review.
Internal knowledge search
Answer operational, accounting, land, and investor-reporting questions from approved company sources rather than scattered folders.
Reporting packet preparation
Draft source-backed notes for leadership, sponsors, investment committees, trustees, or family decision makers.
Exception queues
Group missing support, stale files, unusual charges, unresolved owner questions, and operator movement into reviewable work queues.
Why this is different from a generic AI dashboard.
The useful output is not another screen. It is a tighter review process: approved source locations, clear extraction rules, named workflow owners, human review, exception routing, and a practical way to decide whether the pilot improved the work.
Best-fit teams.
E&P operators with recurring finance, accounting, land, and reporting review work.
Non-operated working-interest owners reviewing JIBs, AFEs, revenue movement, support files, and operator updates.
Mineral owners, trusts, and family offices that need better records and clearer energy exposure oversight.
Private equity funds and portfolio teams reviewing energy assets, data rooms, and post-close workflow readiness.
Leadership teams that want AI to improve operations without hiding source evidence or replacing accountable judgment.
How a back-office AI pilot should be scoped.
Name the source set
Define which folders, statements, exports, packets, and records the pilot may use.
Name the workflow owner
Assign responsibility for reviewing output, approving decisions, and changing the workflow when issues appear.
Name the success measure
Measure whether review time, exception clarity, source traceability, or reporting quality actually improved.
Questions clients ask
Practical answers before the first call.
These answers reflect the way Stewardship scopes AI readiness and operating-intelligence work: source-backed, narrow enough to verify, and accountable to a real business decision.
What is oil and gas back-office AI?
Oil and gas back-office AI uses approved source documents and workflow rules to support recurring review work such as JIBs, AFEs, revenue statements, owner files, reporting packets, internal search, and exception queues.
Can AI automate JIB and AFE review?
AI can assist JIB and AFE review by summarizing support, comparing recurring charges, flagging exceptions, and routing missing documentation, but final approval should stay with a human reviewer.
Why start with back-office workflow automation?
Back-office workflows usually have source documents, repeatable review steps, and clear human owners. That makes them easier to govern and verify than broad AI transformation projects.
How should oil and gas teams measure a first AI pilot?
Measure a specific workflow against the current process: review time, missing-support detection, exception quality, source traceability, reporting quality, and reviewer confidence.
Next step
Start with one review workflow that can be verified.
Stewardship helps oil and gas teams choose the right back-office AI pilot, prepare the sources, define controls, and keep the work accountable.