Oil and gas
AI automation agency for oil and gas
We build AI automation for oil and gas companies, including upstream operators, midstream companies and oilfield service firms, where field data and paperwork pile up faster than the office can process it. Field tickets, production reports, maintenance work orders and HSE records get connected to the systems you already run, so accounting, production and safety teams spend less time keying and chasing.
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Quick answer
How can AI automation help oil and gas companies?
AI automation helps oil and gas companies by reviewing vendor field tickets against MSA rates and AFEs, building daily production reports from pumper and historian data, turning equipment issues into Maximo or SAP work orders, and categorizing HSE incident reports. People still approve tickets and submit regulatory reports, while automation handles the reading and checking.
- Field ticket review against rate sheets and AFEs is often the clearest first project
- Production data is checked for gaps and outliers before it reaches production accounting
- Automation reads from historians like AVEVA PI, not from SCADA control networks
- Regulatory staff review and file state production and emissions reports themselves
01
Where oil and gas back offices lose time
Most of the friction sits between the field and the office. Pumpers, lease operators, field supervisors and crews generate data on tablets, paper and email, and someone downstream has to check it, code it and enter it again.
These are the workflows we hear about most:
- Vendor field tickets that need checking against the MSA rate sheet, the AFE and the actual work before approval
- Daily gauge sheets, run tickets and pumper reports reconciled into production accounting
- Monthly state production reports, such as the Texas Railroad Commission Form PR, assembled from several sources
- Joint interest billing questions and partner statements answered by hand
- Maintenance work orders for compressors, pumping units and pipeline equipment raised from emails and calls
- JSAs, incident reports, near misses and inspection findings sitting in separate forms and spreadsheets
02
What we automate for operators, midstream and service companies
For operators, the biggest win is usually field ticket review. An AI step reads each ticket, matches line items to the rate sheet and the AFE, flags pricing or quantity differences and suggests GL and cost coding, so the approver only looks at exceptions. Production data from pumper apps and SCADA is checked for gaps and outliers before it reaches production accounting.
Midstream teams use similar workflows for gas measurement exceptions, nominations follow-up and right-of-way correspondence. Oilfield service companies automate the other side of the same process: building field tickets from job logs, attaching signed delivery records, submitting invoices through customer e-invoicing portals and chasing rejected invoices.
WHAT WE BUILD
What we automate for oil & gas
Typical automations, each scoped and quoted at a fixed price after a free review.
Field ticket review
Vendor field tickets are read, matched to MSA rates and the AFE, coded, and sent for approval with pricing or quantity differences flagged.
Daily production report
Pumper data, gauge sheets and historian readings are combined each morning into a production report with outliers and down wells explained.
State production reporting prep
Monthly volumes are pulled from production accounting, checked against prior months and laid out for regulatory staff to review and file.
Service company invoicing
Job logs and signed tickets become invoices submitted through customer portals, and rejected invoices are routed back with the reason.
Maintenance work order intake
Equipment issues reported by email, phone or form are turned into work orders in Maximo or SAP PM with location and asset attached.
Incident and near miss triage
HSE reports are categorized, linked to similar past events and assigned follow-up actions with owners and due dates.
JIB partner questions
An AI agent answers routine partner questions from JIB detail and AFE data, with anything unusual routed to the joint interest accountant.
03
AI agents in oil and gas operations
AI agents are useful where someone currently reads and compares documents all day. An agent can review a stack of field tickets against contract terms, summarize a well file before a workover meeting, draft a morning production report with explanations for wells that underperformed, or answer partner questions from JIB detail and division orders.
In HSE, an agent can read incident and near miss reports, suggest categories and contributing factors, and highlight repeat issues by location or contractor. Safety staff still own the investigation. The agent keeps the data consistent enough that trend reports become useful.
04
Oil and gas software we connect
We work with the systems you already run. Production and land teams often use Quorum, P2 or Enverus. Field data comes from tools such as Peloton WellView, Greasebook or custom pumper apps, and SCADA historians such as AVEVA PI. Many larger operators run SAP S/4HANA with SAP Ariba, while service companies frequently receive invoices and tickets through Enverus OpenInvoice.
Maintenance often runs in IBM Maximo or SAP Plant Maintenance, and HSE in Intelex, Cority or Enablon. Around those we connect Outlook, SharePoint and Teams, and build dashboards in Power BI or Spotfire. Where a system lacks an API, we use scheduled exports or approved file drops, agreed with your IT team.
05
Security, regulatory and field realities
Production data, pricing and partner information are sensitive, and some reporting is regulated, from state production reports to EPA greenhouse gas reporting under Subpart W and PHMSA pipeline integrity records. We automate the gathering and checking of that data, and your regulatory staff review and submit. This is a description of our approach, not legal or compliance advice.
Operational technology is a separate concern. We read from historians and reporting copies of SCADA data instead of control networks, use SSO and role-based access, and keep audit trails of every automated change. Field realities matter too: workflows are designed to handle late data from sites with poor connectivity.
06
How an oil and gas automation project works
We begin with a free review with the people who own the work, such as your revenue accounting lead, production engineer or HSE manager. We look at real tickets, reports and system screens, confirm what data your systems expose, and return a fixed-price scope.
Delivery is staged, usually starting with field ticket review or the daily production report because the before and after is easy to measure. The new workflow runs alongside the manual process until your team trusts it. You own the accounts, workflows and code.
07
What oil and gas automation costs
Projects are quoted at a fixed price after the free review. A single workflow, such as field ticket review or incident report categorization, typically takes 2 to 4 weeks. A broader project covering production reporting, maintenance and HSE dashboards typically takes 6 to 8 weeks.
Cost depends on how many systems are involved, the variety of ticket and report formats, and the security review your IT team requires.
TOOLS
Tools we connect
FAQ
AI automation for Oil & Gas questions
How is AI used in the oil and gas industry?
Outside of geoscience, the most practical uses are in the back office: reviewing field tickets, building production reports, triaging maintenance requests and categorizing HSE reports. AI handles the reading and checking, and people approve what matters.
Can AI automate field ticket approval?
AI can automate the review step. Tickets are matched to rate sheets and AFEs, differences are flagged and coding is suggested, so approvers focus on exceptions. Final approval typically stays with a person.
Do you integrate with Quorum, Enverus or OpenInvoice?
Yes, through the APIs, exports or file transfers available on your setup. We confirm what your versions support during the free review before giving a quote.
Can automation connect to our SCADA system?
We read from historians or reporting copies of SCADA data, such as AVEVA PI, rather than control networks. That keeps operational technology separate from business automation.
Is this only for large operators?
No. Small and mid-size operators and service companies often see the clearest gains because the same few people handle accounting, production and HSE paperwork.
What does oil and gas automation cost?
We give a fixed quote after a free review. A single workflow typically takes 2 to 4 weeks, and larger staged projects typically take 6 to 8 weeks.
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Describe the process that eats your team's week. We reply within one business day with a first take on what can be automated, which tools fit and roughly what it would cost.
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- Fixed quote before any work starts
- You own every workflow, account and line of code