AI-NATIVE PLATFORM FOR OIL & GAS
AI that closes the gaps between the wellsite and the ERP.
Nextworld is the AI-native execution platform for the work that happens before anything reaches your system of record. Nextworld Intelligence reads your leases, field tickets, and supplier certificates, then starts the clocks, proposes the coding, and flags the coverage gaps, all on your own rules. Our team builds your first workflow, starting with the one costing you the most.
Before the ledger
A shut-in can start more than one clock. None of them live in your ERP.
A well goes down, and the crew often holds off reporting it because they expect a quick fix. The lease's shut-in clock started anyway, and depending on the lease, it may not be the only one. In land administration, those deadlines live on one person's calendar. Down the hall, a supplier's certificate of insurance sits in a folder and nobody's list says when it expires. Out at the wellsite, a field ticket gets photographed and emailed in, or left in a truck until somebody drives it to the office, where someone works out which well, which AFE, and which cost code it belongs to before keying it into SAP S/4HANA or JD Edwards.
None of that work is in your system of record, because your system of record starts at the ledger. Everything before it runs on good intentions. That accumulated layer of manual steps and unowned deadlines is Shadow ERP™: it compounds quietly, and the bill arrives long after the mistake.
None of that work is in your system of record, because your system of record starts at the ledger. Everything before it runs on good intentions. That accumulated layer of manual steps and unowned deadlines is Shadow ERP™: it compounds quietly, and the bill arrives long after the mistake.
Intake nobody standardized
Leases, tickets, and certificates arrive as scans, photos, PDFs, and portal exports, and none of them arrive as data.
Deadlines nobody owns
Some lease obligations run off known dates, others start when a well's status changes, and a single event can start more than one.
A downturn doesn't slow it down
Less drilling doesn't mean fewer lease obligations, less coding, or less compliance work on the wells already producing.
Built for the field, proven in upstream.
A South Texas upstream oil & gas operator uses Nextworld to connect field services and warehouse operations, turning natural-language material requests into ready-to-pick orders.
60% less
coordinator processing time
30% faster
request-to-pickup
50% fewer
wrong-part shipments
One AI-native platform connected to SAP S/4HANA, JD Edwards, and everything else you run.
Nextworld puts AI agents, applications, automations, and integrations on one platform. In oil and gas, that starts with connecting to the systems you already run, and to the point tools carrying the workflows those systems never covered. A lease, ticket, or certificate gets read once and lands everywhere it needs to go. The record that spans the field, the land office, the ledger, and the tools in between finally exists somewhere.
Built around your operation
Applications, logic, and workflows built to the way your operation already runs. Integrations included, and those can be built from a prompt through agentic development.
Automated by AI agents
AI agents read the documents, watch expirations, obligations, and dispute windows, and raise them while there's still time to act. Workflows route the exception to a person and finish what they start.
Governed by default
Every app, agent, and integration inherits the same role-based access and audit trail as everything else on the platform.
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“The ability to build what we need in Nextworld has allowed us to solve problems that would have otherwise ended up in another spreadsheet or another standalone tool."
Michelle Webster, Director of Accounting, Exeter Finance
Start with one
View our solutions and use cases.
How do you keep a lease obligation from turning into a cost or lost acreage?
By having an AI agent read the lease, then letting the lease's own terms and the well's status set every deadline.
- Read. An AI agent extracts the terms and clauses that carry a financial or legal impact, and they're reviewed before the lease goes active.
- Track. Extension options, Pugh clauses, and minimum royalties tied to known dates go on the calendar the day the lease goes active.
- Trigger. Event-based obligations like shut-in royalties start the moment a well's status changes, and one event can start more than one clock.
- Surface. Each obligation moves through open, at risk, missed, or satisfied, with notifications going to the right people and every deadline across every lease on one calendar.
A missed obligation can cost money or rights to some or all of the acreage, and with hundreds of leases and wells, the connections multiply faster than anyone can follow by hand. Each obligation is tracked against that lease's own terms, so your land team stops reconstructing deadlines and starts acting on them.
How do field tickets get into SAP S/4HANA without manual re-entry?
By taking the ticket from wherever it starts to a posted entry without anyone retyping it.
- Capture. A photo of a handwritten ticket, an emailed PDF, and a portal export all enter the same path.
- Read. An AI agent extracts the supplier, well, and line items, then proposes the cost code based on how similar tickets were coded before.
- Check. Your own well, AFE, cost-code, and price book rules run against it.
- Post. It lands in your ERP once, and anything that fails a check routes to a person instead of posting wrong.
You set the rules it runs on: the tolerances your controller works to, the logic your team already uses to tell a workover from a completion, and the exception path your coordinator already follows. The agent handles the reading, the matching, and the first pass at coding, and its matching improves over time as coordinators resolve exceptions. Because tickets get coded when they arrive instead of weeks later, spend against each AFE stays current while there's still time to act on it.
What happens to a supplier’s insurance and safety documentation before it reaches SAP S/4HANA or JD Edwards?
By making the paperwork a record the system watches rather than a folder someone remembers to check.
- Read. AI reads each COI, safety certification, or training record as it arrives and extracts the coverage type, carrier, limits, endorsements, and dates.
- Score. Those terms get checked against the minimum coverage for that supplier's class, and each supplier comes back compliant, expiring, lapsed, or insufficient, with the specific reason.
- Warn. The supplier gets reminder emails on a set schedule, and the compliance coordinator and HSE owner hear about a lapse before coverage runs out.
- Flag. A supplier who isn't compliant gets flagged and routed for review, and the flag clears once a corrected document passes.
A supplier working your location without current coverage is an exposure nobody priced. Nothing in your ERP was built to raise its hand about it, so the gap tends to surface the week it starts costing something. Catching it at onboarding and on every renewal takes that bet off the table. Your onboarding requirements shape it: which documents each supplier type owes you, the minimum coverage each class needs, how far ahead you want the warning, and who signs off before a supplier is cleared for a location.
Return on Intelligence
Your agents turn in their own tickets.
Upstream has moved past asking what AI can do and onto asking whether it earns what it costs. That question is only answerable if you can see both halves, and on Nextworld they sit in the same place. Open a run and read it step by step: what the agent did, which records it touched, what came back. Next to it, what that run consumed, down to the agent and the user.
A process has a known cost before it scales across the business, and every action an agent takes carries the same permissions and audit trail as a person’s. Return on intelligence, on the record.
A process has a known cost before it scales across the business, and every action an agent takes carries the same permissions and audit trail as a person’s. Return on intelligence, on the record.
FAQs
Answers to frequently asked questions.
Do we have to build any of this ourselves?
Does Nextworld replace SAP S/4HANA or JD Edwards?
Do we have to replace the tools we already use for ticketing or compliance?
What if we don’t run SAP S/4HANA or JD Edwards?
How is this different from a point tool?
How do we know the AI is getting it right?
What happens to the lease records and certificates we already track in spreadsheets?
We’re an oilfield service company, not an operator. Does this apply?
What other oil and gas processes can Nextworld handle?
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Less handoff. More hands on.
We help you find the workflow worth starting with and build it custom to your operation. You'll know exactly what you're paying before you sign, and before we tackle the next problem.
01 Identify
We help you find the workflow costing you the most..
02 Build
We build the fix, custom to your operation and your rules.
03 Deploy
We connect it to your system of record, governed from day one.
04 Validate
We prove it works in the real world before you commit to more.
05 Expand
We pick the next problem and start again, until Shadow ERP is gone.
Every operator has a gap. Start with yours.
You already know which process is the problem. The lease deadline that came close to slipping, or the ticket still getting keyed in by hand. Bring us that one and our team will show you what closing it looks like, built on your own rules.
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