Automation for oil, gas and energy services companies

Paper moves slower than product

A small operator with a few hundred wells, or a service company with fifty crews, produces enormous amounts of paper. A field ticket signed on a tablet or a clipboard becomes an invoice, which must match a work order, a rate sheet and an approver. Contractors need prequalification and current insurance before they set foot on site. Every incident needs a report, and regulators and partners want consistent records.

We do not touch plant controls, SCADA or anything that can affect a process. Our work sits in the office layer: documents, approvals, reports and reminders.

Back-office jobs in the energy sector

Document-heavy work like this is where a reading model earns its place, but only when each extracted number can be traced back to the page it came from. Every field the flow fills carries a link to the source image, so an auditor or partner can check it in seconds.

What we build

• A ticket-and-invoice matcher that compares what the field recorded with the contract rate and the work order, and lists differences with the amount at stake.
• A contractor portal flow with a checklist, document upload and automatic reminders before certificates expire.
• An incident report assistant that guides a worker through the questions your HSE procedure requires, then produces a clean record.
• A calendar of leases, permits, inspections and lease obligations drawn from your registers.
• A morning briefing that gathers production notes, safety observations and open items into a page for the operations manager.

Many firms in this sector run older ERP and production accounting systems. We often work from scheduled exports and shared folders when an API is unavailable.

Accuracy is checked by sampling. For ticket matching, we pull a set of invoices your accounts team already processed and see where the flow agrees and where it differs, then classify the differences: flow error, human error or contract ambiguity. The third kind is often the most useful finding, because it shows where your rate sheets are unclear.

Data, safety culture and regulation

Energy companies treat operational data as sensitive, and some are critical infrastructure with their own security rules. We keep the project outside operational technology networks. Safety reports are legal records in many places, so wording suggestions from a model must be reviewed by the person responsible. Regulatory rules depend on country and state, for example state oil and gas commissions in the US or the North Sea Transition Authority in the UK. Check with your compliance team and lawyer. Contract terms with joint-venture partners may also limit where data goes.

How the project runs

1. Pick a document streamUsually field tickets or contractor onboarding.
2. Sample reviewWe take a few hundred past documents and see how many the flow reads correctly.
3. Parallel runAP and operations compare the flow's output with their own for one billing cycle.
4. Hand overStaff own the rules, and we document how to change them.

We are based in Pune and book calls in Houston, Aberdeen or Calgary-friendly hours by arrangement.

After launch we review exception rates monthly. A rising exception count usually means a vendor changed their ticket layout, and we update the reader.

Price and what moves it

Projects start at $1,500 and our rate is $30 an hour. A contractor expiry tracker is near the minimum. Ticket and invoice matching across many vendors, ERP connections and strict security reviews add effort. Fixed quote within one working day. See the AI automation cost guide and the AI automation overview.