ElectroNeek

Industries · Energy services

From field ticket to clean invoice — without the lag

For oilfield support companies, field-ticket paperwork is the whole back office — and revenue leaks in the days between the field and the invoice.

Team and partners across North America, Latin America, Europe and Asia · support in English and Spanish · annual commitment, flexible payment plans

Field Ticket Agent · run #7,731

Running

Field tickets received

38 tickets · PDF + photos from the yard

✓

Job data extracted

well · equipment · hours · crew

✓

Coded to operator spec

OpenInvoice template · AFE validated

✓

Invoice submitted

same-day · pre-validated

✓

ticket held, not lost

human
This week, ticket-to-cash2–5 days of lag → same-day

In one paragraph

ElectroNeek automates oilfield-services billing by reading field tickets the day they're filed, coding invoices to OpenInvoice and Cortex specifications, validating before submission, and reconciling AP — typically moving cash weeks earlier by eliminating ticket-to-invoice lag and portal rejections.

Systems we reach — and what we do in each

Through the API where there is one, through a bot on screen where there isn’t. All 700+ integrations →

OpenInvoice

  • —Field tickets submitted with the right coding
  • —Rejected invoices corrected and resubmitted

Cortex

  • —Invoices and backup uploaded by a bot
  • —Payment status pulled into AR

Enverus

  • —Price and activity data pulled into reports
  • —Well data read for ticket coding

QuickBooks

  • —Field tickets turned into invoices
  • —Vendor bills from email entered and matched

Sage

  • —Job costs updated from tickets
  • —Month-end reports distributed

field ticket apps

  • —Paper and PDF tickets read into structured data
  • —Hours and equipment coded per customer rules

Where it hurts — we’ve seen it before

Field-ticket lag

Tickets on paper or PDF get keyed into billing days later — revenue leaks in between.

Portal invoice rejections

Customer portals demand clean, coded invoices; every rejection costs weeks of DSO.

AP reconciliation

Fuel, parts, and subcontracted crews reconciled by hand while the billing team runs underwater.

Field tickets → billingPortal invoicingInvoice coding & validationAP reconciliationDSO reporting

Ticket-to-cash, automated

Today, by hand

  • — Field tickets pile up on paper and PDF
  • — Billing keys them in days later
  • — Portal rejections bounce invoices back
  • — DSO stretches week after week

With the agent

  • ✓ Agent reads tickets the day they're filed
  • ✓ Codes invoices to each portal's spec
  • ✓ Validates before submission — fewer rejections
  • ✓ Cash lands weeks earlier

The math on a typical operation

Volume

400 field tickets / week

By hand

2–5 days from ticket to invoice, ~15% portal rejections

With agents

same-day coded invoices, validated pre-submission

Weeks off DSO — the single biggest cash lever in the yard.

Illustrative benchmark for a typical operation of this profile — your tailored case runs these numbers on your data.

Built for: Owners and presidents, CFOs and controllers, operations and office managers.

Repower — energy operations on ElectroNeek →

Energy services: questions we hear first

Can field tickets be turned into invoices automatically?

Yes. Agents read paper and PDF field tickets as they're filed, extract job, equipment and hours data, code line items to each customer's requirements, and prepare invoices the same day — instead of days later.

How do you stop OpenInvoice and Cortex rejections?

Agents validate coding, rates, and required fields against each operator's portal specification before submission. Fewer rejections means weeks off DSO — the single biggest cash lever for service companies.

What typical results do energy-services companies see?

Typical outcomes: 50–70% less manual effort on ticket-to-invoice flows, materially fewer portal rejections, and payback in five to six months. A billing team of 3–6 stops drowning without adding headcount.

Four lines from you. A tailored case from us.

Name the process, tell us what happens today, list the systems, and say where it hurts most. We dig into what you actually run and come back with the case — on your data, with the planning math and its assumptions. If a process doesn’t pay back, we say so before the sandbox, not after.