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ITECS

Oil and gas AI from the ITECS Dallas team

AI Solutions for Oil and Gas Companies

ITECS builds governed AI for independent operators, non-operated working-interest owners, mineral and royalty companies, oilfield service firms, and midstream gatherers of 50 to 300 people. A joint-interest cost assurance agent checks field tickets and invoices against MSAs, AFEs, and the JOA before the JIB goes out, on the business network and outside OT.

Energy back offices do not need AI near the control room. They need AI that reads the tickets, contracts, and decks the accounting team already works from, cites the rule behind each flag, and leaves posting, paying, and partner communication with the people who own them.

Oil & gas signal map

Costs + partners + boundary

Costs

Field tickets, invoices, and AFEs

Partners

JIBs, decimals, and audit windows

Boundary

Business network only, outside OT

Energy IT discipline behind oil and gas AI

Oil and gas AI from a team that already supports Dallas energy teams, with a clear line around OT.

ITECS supports Dallas-based and distributed energy teams with office IT, secure remote access, vendor access control, backup resilience, and cybersecurity. ITECS AI keeps the boundary its managed-services practice already draws: it works on the business technology layer and does not operate SCADA, control, or safety systems. Read about ITECS IT services for oil and gas.

  • 42.2%

    Texas share of U.S. crude oil production in 2025, calculated from EIA state data (5.76 of 13.66 million barrels a day).

    EIA crude oil production by state
  • 61%

    Share of Texas's 156,120 producing oil wells making under 10 barrels a day on May 31, 2026, which makes back-office cost per well matter.

    Texas Railroad Commission well data
  • Dec. 3, 2025

    CISA and partner agencies placed LLMs in the business layers and said they almost certainly should not make OT safety decisions.

    CISA guidance on AI in OT

Operating pressure

Oil and Gas AI Starts With Cost, Partners, and the OT Line

The first step is not picking a model. It is finding where field spend goes unchecked before the JIB, where partner and owner obligations run on clocks, and where AI must stay out of operational systems.

Cost pressure

Rising lease operating and drilling costs make each unchecked field ticket and invoice a margin question.

  • Tickets billed above MSA rates or for standby after release
  • Duplicate tickets across invoices and summary bills
  • Charges coded to the wrong well or a closed AFE
  • AFE overruns found after the job is finished

Partner pressure

Joint-interest billing, division orders, and lease obligations all run on clocks that partners, owners, and lessors enforce.

  • COPAS 24-month adjustment and audit windows
  • Texas royalty payment timelines under Natural Resources Code section 91.402
  • Shut-in royalty, continuous development, and Pugh clause dates
  • Non-operator JIBs paid without a timely review

Boundary pressure

AI is only usable when it stays on the business network and keeps partner and owner data confidential.

  • Production data that must be pushed out of OT, never pulled in
  • Working-interest partner data that cannot mix across properties
  • Owner tax IDs and bank details in division orders
  • Regulatory filings that go live the moment they are submitted

Example cost-assurance signal board

The Metrics an Oil and Gas AI System Should Make Visible

A joint-interest cost assurance program should show the controller what was reviewed, what was held, what reviewers confirmed, and which AFEs are trending over. These figures are illustrative for a fictional 110-person Permian operator in one month; discovery replaces them with the company's own data.

Adjustment bridge

Confirmed adjustments by cause

Billed rate above the MSA schedule+$64.2K
Duplicate ticket or invoice+$41.8K
Charged to the wrong well or AFE+$33.5K
Standby or rental beyond daily-report dates+$29.1K
Materials not credited or mispriced+$18.8K

Tickets and invoices reviewed

3,800

Invoice network, AP mailbox, and scanned paper tickets

Exceptions routed to reviewers

342

Each with evidence, the rule cited, and a suggested action

Adjustments confirmed

$187K

Of $612K held for review, reviewers confirmed $187.4K

AFEs projected over 10%

4 of 37

Supplemental AFE drafts awaiting operations approval

What leadership sees

  • Ties each exception to the ticket, MSA clause, AFE, or COPAS section behind it
  • Keeps rate math, decimals, and allocations in deterministic code
  • Agent-initiated postings, payments, or partner emails: zero, by design

Oil and gas AI use cases

Where AI Creates Measurable Value for Energy Companies

Start where documents already arrive and an accountant, landman, or engineer already owns the decision: field costs, AFEs, revenue, and leases.

JIB & Field-Ticket Reconciliation

Match tickets and invoices to wells and AFEs, check MSA rates and duplicates, and stage coding and JIB allocations for accountant approval.

Exceptions reach an accountant before the JIB goes out

AFE Variance Monitoring

Compare daily field costs, accruals, and invoices with approved and supplemental AFEs and project the overrun trend while the job is running.

Overruns seen while they can still be managed

Non-Op JIB Review & Audit Prep

Review incoming operator JIBs against your JOA, COPAS exhibit, elections, and decimals, and build written-exception candidates inside the 24-month window.

A running exception list ready for your auditor

Vendor MSA Compliance

Abstract rate schedules, standby rules, fuel surcharges, and insurance terms from MSAs, and track contract and certificate expirations.

A cited rate reference for each vendor

Lease Abstraction & Obligation Calendar

Abstract primary terms, shut-in royalty, continuous development, Pugh, and depth clauses with citations for landman approval.

Obligations calendared from the lease text

Division Order & Title Curative Tracking

Turn title-opinion requirements into curative checklists tied to suspense balances and Texas payment timelines.

Each suspended owner has a reason and a next step

Revenue Distribution Exceptions

Flag decimal mismatches between division orders, revenue decks, and check detail, and surface possible late payments for review.

Revenue accountants work a ranked queue

RRC Production Report Pre-Validation

Check Form PR data for lease IDs, operator of record, and volume reasonableness before the deadline, while a person files in RRC Online.

A reviewer-ready exception list each month

Well-File & Engineering Knowledge Base

Answer questions over completion reports, workover history, daily reports, and filings, with citations to the source.

Prior decisions found without re-searching folders

Flagship enterprise agent

Joint-Interest Cost Assurance Agent: Charges Checked Before the JIB Goes Out

An illustrative solution design, not a reported client result. It runs in two mirrored modes: operators check vendor charges before billing partners, and non-operators check the JIBs they receive.

  1. Read tickets, invoices, and contracts

    The agent extracts line items from invoice-network exports, the AP mailbox, and photographed paper tickets, and maps each well and lease name to its cost center and AFE.

  2. Check rates, duplicates, and the field record

    It compares billed rates with the MSA schedule in force on the service date, catches duplicates across invoices, and checks billed days and standby against daily drilling and completion reports.

  3. Apply AFE and JOA rules

    It tracks cumulative cost against each AFE, flags closed or overrun AFEs, and applies the JOA and COPAS chargeability rules, while deterministic code computes coding and partner allocations.

  4. The accountant and operations approve

    Each exception arrives with evidence, the rule cited, and a suggested action. The JIB accountant decides, the controller handles large items, and operations approves supplemental AFEs.

    Human approval point

  5. Release and keep the evidence

    Approved coding goes to the ERP as a staged batch that an authorized user posts. Vendor and partner messages stay drafts for a person to send, and the evidence binder covers the 24-month audit window.

    Human approval point

What it reads

  • Field tickets and invoices from the invoice network and AP mailbox
  • MSAs and price schedules from the document store
  • AFEs, expense decks, and working-interest decimals from the ERP
  • Daily drilling and completion reports, exported out of operational systems

What it never does on its own

  • Posts entries, releases payments, or changes the vendor master
  • Sends a vendor dispute or partner notice without a person
  • Connects to SCADA, historians inside OT zones, or field controllers
  • Files with the Texas Railroad Commission

Two kinds of energy agents

Company-Wide Agents and Desktop Agents

ITECS builds two kinds of agents for oil and gas companies. Each has its own owner, controls, and rollout path.

Engineered by ITECS

Enterprise hosted agents

Engineered by ITECS, connected to the ERP, invoice network, document store, and land system through supported APIs and exports, and run on the business network in a governed hosted environment with a review portal and audit trail. The CFO, controller, or VP of land owns them.

  • Joint-interest cost assurance for operators and non-operators
  • Revenue and division-order exception handling
  • Lease abstraction with landman and counsel review

Built with your team

Personal desktop agents

Built with landmen, revenue accountants, engineers, and controllers in Claude, ChatGPT, or Microsoft Copilot on their own machines, then rolled out through training. Owner, partner, and unreleased well data stay out of unapproved tools.

  • Lease summaries and runsheet helpers for landmen
  • Variance explanations for revenue accountants
  • Daily-report summaries for engineers

Systems energy agents read

  • Quorum
  • Enertia
  • IFS BOLO
  • Excalibur
  • W Energy Software
  • PakEnergy
  • OpenInvoice
  • ARIES
  • GreaseBook
  • Microsoft 365

Technologies ITECS evaluates and integrates through each system's available API, export, or import under your licenses; listing a product does not imply a formal partnership or a certified integration. Discovery confirms the systems each company runs.

Start here

Oil & Gas AI Readiness Assessment

ITECS starts by mapping the business case, document flows, the OT boundary, and governance before recommending an agent build.

1

Map back-office priorities

Identify where field spend, JIBs, revenue, and lease obligations leak cash or run close to their clocks.

2

Draw the data boundary

Document which systems hold the authoritative records, which data must be exported out of OT, and how partner and owner data stay separated.

3

Rank use cases by economics

Prioritize by adjustments confirmed, overruns caught early, hours returned, and feasibility, starting where documents already arrive.

4

Write the governed path

Document approval gates, write-back limits, retention through audit windows, and vendor terms before any production build.

Governance

Built on the Business Side of the OT Line

ITECS designs oil and gas AI for the business network, with deterministic arithmetic and named approval for postings, payments, and messages.

Outside operational technology

CISA's December 2025 guidance places LLMs in the business layers and favors push-based data flows out of OT, which matches the boundary ITECS already holds.

  • Production and daily-report data pushed out of OT, with persistent inbound access excluded
  • LLMs kept away from safety decisions and field control
  • Designated pipeline operators keep their TSA segmentation requirements intact
  • Rate math, decimals, and allocations computed in deterministic code

Partner and owner confidentiality

Agents inherit property- and partner-scoped access, so one partner's data stays out of another's view.

  • Non-operator mode sees only the client's own interests and statements
  • Owner tax IDs and bank details masked where tasks do not need them
  • Evidence binders that leave source records unaltered
  • SOC 2 Type II applies only if Promus managed cloud hosting is selected

Security

Security for Oil and Gas AI Workflows

Oil and gas AI touches vendor contracts, partner billing, and owner records. ITECS designs these systems on the business network with scoped access, audit logs, and named approval before anything posts, pays, or leaves the company.

One-way data flows out of operational systems, never into them
Property- and partner-scoped access with per-client isolation
Named approval before postings, payments, disputes, or partner notices
Audit logs kept at least through the COPAS adjustment window

FAQ

Oil & Gas AI FAQ

Will the agent post entries or pay vendors on its own?

No. It stages proposed coding, JIB allocations, and dispute drafts in a review portal; an accountant approves each exception, and approved batches go to your ERP through its normal approval controls.

Does it connect to SCADA or field control systems?

No. The agent runs on the business network and uses data exported out of operational systems, following CISA's December 2025 guidance that places LLMs in the business layers and keeps them out of OT safety decisions.

How does it handle our JOA, COPAS exhibit, and partner audit rights?

The overhead method, chargeability rules, and material pricing are abstracted from your executed JOA and accounting procedure and reviewed by your team. Each flag cites its rule and source page, building an evidence record you can use inside the 24-month adjustment and audit window.

Which accounting systems does it work with?

It is designed around systems mid-market operators already run, such as Quorum, Enertia, IFS BOLO or Excalibur, W Energy Software, and PakEnergy, plus invoice networks such as OpenInvoice. Integration uses each system's available API, export, or import, confirmed during discovery.

We are a non-operator or a mineral and royalty company. Does this apply to us?

Yes, in mirrored form. Non-operators review incoming JIBs against their JOA, elections, and decimals, and mineral and royalty owners compare check detail with division-order decimals and Texas payment timelines, with any interest question left to your team and counsel.

Ready to see where AI moves your business forward?

1Send intake
2Scope the need
3Choose the next step