Any ERPIndustry

Oil and gas equipment + private AI

AI ERP for Oil and Gas Equipment Manufacturers: Heat Traceability, MTRs and Aftermarket

Short answer

AI ERP for oil and gas equipment manufacturers lets quality, planning and aftermarket teams query heat numbers, material test reports, NDE and hydrotest records, and open engineered-to-order jobs through a private language model on top of the ERP. It is designed for API-style quality systems where proof of material and testing must be retrievable per serial number.

ERP: Any ERP
Industries: Oil and Gas Equipment, Heavy Fabrication, Energy
Written for: Operations Director

Discuss your Any ERP environment See use cases

Wellheads, trees, valves, chokes, blowout preventers, pressure vessels and drilling components share a manufacturing profile: engineered to order or configured from a catalog, made from forgings and castings with specified materials, machined, welded, heat treated, tested and shipped with a data book. The data book is the product's proof. A customer or inspector expects heat numbers, material test reports, NDE results, hydrostatic test charts and dimensional records tied to each serial.

Those records come from many places. The ERP holds the job, routing, purchase orders for forgings and bar, inventory and shipment. The quality system holds inspection plans, nonconformances and calibration. Testing software holds pressure charts. Heat and lot numbers travel on paper certificates that someone matches to purchase orders at receiving. Assembling a data book for a large order is days of clerical work, and missing documents delay invoicing.

The standards behind the work include API Specification Q1 for quality management, product specifications such as API 6A for wellhead and tree equipment, API 6D for pipeline valves and API 16A for drill-through equipment, along with NACE MR0175 / ISO 15156 for sour service materials, ASME pressure codes and ATEX for hazardous areas. Customers add their own supplemental requirements. Holding an API license or monogram is a decision for the manufacturer and the licensing body, and nothing on this page should be read as granting it.

Aftermarket matters too: rebuild, recertification and spares for equipment in the field. This page describes how private AI on the ERP can reduce the document handling, speed engineering questions and support service, while keeping drawings, pricing and customer terms inside the company.

What usually gets in the way

The problems we hear most from operations director teams running Any ERP.

Data books are assembled by hand

Pulling MTRs, NDE reports, hydro charts, welding procedure references and inspection sign-offs for each serial is slow, and a missing certificate often surfaces only when the customer's inspector asks.

Heat number links break at receiving

If the heat number on the mill certificate is not captured against the received lot and carried through cutting and machining, material traceability for the finished part relies on shop floor discipline and paper travelers.

Engineered-to-order quoting is slow and inconsistent

Estimators price from past jobs held in different folders and spreadsheets. Variation in material, testing scope and customer supplements makes similar-looking jobs cost very differently.

Long-lead material drives delivery

Forgings, castings and special alloys have long and variable lead times, and a slipped receipt cascades through machining, heat treat and test slots that were scheduled around it.

Aftermarket knowledge is trapped in serial histories

Rebuild and recertification quotes need the as-built configuration, prior repairs and applicable service bulletins for a given serial, often found in old job files.

Where AI earns its place in Any ERP

Each use case names the ERP objects it reads or writes, so your ERP team can judge the integration effort before anyone commits budget.

Serial data book assembly

For a given order or serial, the assistant collects linked MTRs, NDE, hydro and inspection records, lists what is missing and drafts the index for a quality engineer to review.

Touches: Production orders, serial and heat records, inspection lots, document links, purchase receipts

Outcome: Cuts clerical assembly time and surfaces missing documents before the customer does.

Heat number traceability query

Ask which finished serials used a given heat of bar or forging, and which customers and shipments received them.

Touches: Goods receipts, batch or heat master, component consumption, shipment lines

Outcome: Containment scoping in minutes when a supplier issues a material notice, given complete capture.

Material certificate check against spec

Reads an MTR and compares chemistry and mechanical properties to the purchase order and material specification, flagging apparent deviations for review.

Touches: Purchase order text, material spec records, receiving inspection, vendor master

Outcome: Faster, more consistent receiving review; a qualified person still accepts or rejects the material.

ETO quote support from similar past jobs

Finds comparable earlier jobs by product, size, pressure rating and material and summarizes actual hours, material cost and test scope to inform an estimate.

Touches: Closed production orders, routings, actual cost, quotation history

Outcome: More consistent quotes and fewer lost-margin surprises, with the estimator keeping judgment.

Long-lead material risk dashboard

Answers which open jobs depend on late forgings or castings and what downstream test and ship dates move as a result.

Touches: Purchase order schedule lines, planned orders, capacity by work center, project milestones

Outcome: Earlier customer communication on slips, with the dependency chain shown.

Nonconformance and repair history lookup

Retrieves prior NCRs, dispositions and repairs for a part number or serial, drafting a summary for the material review board.

Touches: Quality notifications, NCR records, rework orders, serial history

Outcome: Reviewers start from the history, not from an empty search.

Aftermarket rebuild and recert scoping

For a returned serial, assembles as-built configuration, prior service, and applicable bulletins into a draft scope and quote basis.

Touches: Installed base, as-built BOM, service orders, spare parts, document management

Outcome: Shorter time from receipt to a defensible rebuild quote.

Reference architecture

The AI layer reads from the ERP, quality system and document store, retrieves only the records tied to a serial, order or heat, and shows its sources. Writes are limited to drafts a quality engineer or estimator approves.

1
ERP and quality connectors
Read-only access to jobs, lots, heat numbers, inspection lots, NCRs and shipments via APIs or database views.
2
Document index
MTRs, NDE reports, hydro charts and procedures indexed with serial, heat and PO metadata, with OCR for scanned certificates.
3
Model serving
Open-weight models served with vLLM or Ollama on the customer's own GPUs or sovereign cloud.
4
Retrieval and agents
Filtered retrieval by serial or heat, with agents that draft indexes, comparisons and reports under human approval.
5
Governance and audit
Logged queries, role-based access to drawings and pricing, and clear separation of drafts from controlled records.

Integration notes for your ERP team

Heat numbers are read from batch or lot records captured at receiving; where only paper certificates exist, OCR indexing links them by purchase order and line.
Hydrostatic and pneumatic test charts are read from the test system export or a document store, indexed by serial.
Weld records and welder qualification references are linked from the quality system by job and traveler operation.
Customer supplemental requirements are stored as retrievable documents per customer, so checks use the right edition.
Estimating queries run against closed-job actuals, normalized by size class and material, not against standard costs alone.
Any write-back, such as a draft NCR or data book index, goes to a review queue and is not posted to controlled records automatically.

Deployment options

On-prem at the fabrication site

Manufacturers with customer drawings under confidentiality and export-controlled technical data.

Models, document index and connectors run inside the facility network with no external AI calls.

Private or sovereign cloud

Multi-site groups across regions with data residency expectations.

A dedicated tenant per region, aligned with the company's own cloud agreements.

Hybrid

Groups with an on-prem shop and a cloud ERP.

Documents and models stay local, with the ERP connector reading through the vendor's supported API.

Compliance and data control

How the architecture supports your obligations. Certification and accountability stay with your organisation; the design keeps the evidence straightforward.

API Specification Q1 and product specs (6A, 6D, 16A)

The system retrieves and assembles records the quality system already requires; controlled documents and the license remain the manufacturer's responsibility.

NACE MR0175 / ISO 15156

Material certificate checks can flag properties against the specified sour service limits for human review.

ASME BPVC, PED and ATEX

Records for code stamps and conformity assessment are linked to serials so they can be retrieved; authorized inspectors and notified bodies remain responsible.

Export controls and customer confidentiality

On-prem deployment keeps drawings and technical data away from third-party AI services, with role filters for restricted content.

Where Netray fits

ERPray

Job status, long-lead risk and quote history questions suit grounded natural-language answers over ERP data.

DataRay

Data books depend on certificates, test charts and procedures outside the ERP, which is the on-prem document and database case.

Custom build

Certificate-to-spec checking and data book agents are normally tailored to each shop's documents and customer requirements.

How an engagement runs

Phase 1 . 2-4 weeks

Discovery

-Review of data book contents and where each record lives
-Heat number capture assessment from receiving to shipment
-Ranked use cases
-Deployment recommendation

Phase 2 . 6-10 weeks

Pilot

-Data book assembly for one product family
-Heat traceability query live
-Accuracy review against completed data books
-Access controls for drawings and pricing

Phase 3 . 4-8 weeks

Production

-Production rollout on customer infrastructure
-Certificate check against spec
-Runbook and quality-team training
-Audit logging validated

Phase 4 . Ongoing

Scale

-Additional product lines and sites
-Quote support from closed jobs
-Aftermarket scoping
-Quarterly review of accuracy and usage

Questions to ask any vendor, including us

A short list that separates real Any ERP AI work from a chatbot demo.

How does the assistant link a heat number to a finished serial when the certificate is paper?
What happens when a document is missing: does it say so, or infer?
Can drawings and pricing be restricted by role and by customer?
Does anything leave our network, including OCR and embeddings?
How are comparisons against material specs validated, and who accepts the result?
Which of our controlled records can the system write to, if any?
How do you handle customer supplement editions that change by contract?

Frequently asked questions

Can AI generate our API Monogram or Q1 compliance?

No. Licensing and certification belong to the manufacturer and the licensing body, and they depend on an audited quality system. AI can retrieve records, assemble data books and flag missing documents, which reduces clerical work inside a system you already operate.

How reliable is OCR on old mill certificates?

Quality varies with scan condition and format. We recommend extracting chemistry and mechanical values into structured fields, flagging low-confidence reads, and requiring a person to confirm anything used for acceptance. Accuracy is measured on your own certificates during the pilot.

Does it work for pressure vessel and fabrication shops?

Yes. The data model is similar: material traceability, welding records, NDE, hydro and code documentation. The specific codes differ (ASME, PED, customer specs), so the checks and document sets are configured per shop.

What about aftermarket and rebuilds?

It assembles as-built configuration, repair history and service bulletins for a returned serial, which shortens scoping. Quality of the result depends on how well the original job files were kept, and we assess that during discovery.

Which ERPs does it work with?

Any ERP with API, reporting or database access. Fabricators run SAP, Oracle, Infor, Epicor, Global Shop, JobBOSS and others, and many keep heat data in a separate quality system, which we also connect to.

Will it quote jobs for us?

It supports estimators by finding comparable closed jobs and summarizing actual hours, materials and testing. It does not set prices. Final quotes reflect estimator judgment, current material costs and commercial strategy.

Can it run without internet access?

Yes. The model, index and connectors can run fully air-gapped, with updates brought in through a controlled process. This is common where drawings are export controlled or customer contracts forbid external services.

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