Wells don't wait on your back office.
A private AI that reads well files, tracks AFEs, and keeps land and ops in sync.
Private model. Your data stays yours.
What the week actually looks like in Oil & Gas Upstream
Well files scattered across drives, vendors, and email
AFEs and cost tracking reconciled by hand
Daily drilling and production reports re-keyed into spreadsheets
Lease and JOA obligations known only to one landman
Regulatory filings assembled at the last minute
Vendor invoices coded manually against wrong cost centers
Partner reporting rebuilt every month
None of this is a people problem. It's work that never should have needed a person.
A private AI model, trained on your business, put to work on the grind.
Trained on your material
Your files, templates, and rules — so output arrives already in your format and voice.
Runs on your side of the wall
Private cloud or on-premise. Nothing leaves for a public model.
Humans stay in the loop
The model drafts and checks. Your team approves and ships.
Four weeks from first call to work coming off your plate.
- STEP 01
We watch the work
One discovery call plus a short workflow review. We map where hours actually go — not where an org chart says they go.
- STEP 02
We train on your business
Your documents, templates, tone, and rules become the model's training set. About a week, no engineering lift from your team.
- STEP 03
We wire it into the day
The model sits where the work already happens — inbox, drive, or your line-of-business system — and produces drafts your team approves.
- STEP 04
We tune it on real output
Two free weeks on live work. Corrections feed straight back into the model, so week two is measurably better than day one.
What changes in the first month.
Hours back, every week
The repetitive drafting and re-keying stops being a person's job.
Faster cycle times
Work moves in minutes instead of waiting on someone's queue.
Fewer errors and rework
Checks run on 100% of items, not on the sample somebody had time for.
Capacity without headcount
Volume grows without another hire, another desk, another ramp.
Consistent output
Every document reads like your best person wrote it, every time.
Your people on real work
Judgment, clients, and growth — not clerical throughput.
Why private beats a public chatbot subscription.
Your data never trains someone else's model
No public API, no shared tenancy, no vendor learning from your business.
Hosted your way
Private cloud or on-premise on your own hardware. You choose where the model lives.
One-of-one, not a generic assistant
The model is trained on your files, your rules, your wording — it isn't a prompt on top of a chatbot.
Small models, sane economics
A focused model that does your ten jobs beats a giant one billed per token forever.
More on the reasoning: why small private models win.
Where we'd start in Oil & Gas Upstream
Well file indexing and instant retrieval
AFE versus actual variance summaries
Daily report structuring from field submissions
Lease and JOA obligation extraction
Regulatory filing packet preparation
Field invoice coding and exception flags
Fifteen minutes to find the first workflow worth automating.
One discovery call. One week of training. Two free weeks on your real Oil & Gas Upstream work — then you decide.