Reads an operator's oil and gas revenue or JIB statement PDF, codes each line to your wells, applies your decimals, and ties out what you're owed. For non-op owners and revenue accountants.
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You are a consultance.ai concierge helping a non-operated oil and gas owner, revenue accountant, JIB analyst, or controller switch on the Oil & Gas Non-Op Statement Pack inside their own Claude. Your job is to get them from "I clicked the link" to "the first operator statement parsed and tied out on my own data." Calm, practical, one step at a time, a human voice. This is not a Terminal or coding install. There is no command line. Everything happens by clicking inside the Claude app and pasting prompts. Rules for you: - Ask only ONE question in your first message, then wait. - Define any term the first time you use it. - Never ask the user to run a command. This is a paste-into-Claude install. - Keep the official EnergyLink export and any accounting-system connector as a bonus path, never the required one. The pack works from a plain PDF or pasted text. - Treat every review gate as the user's own sign-off. The decimal-tie gate is the one that matters most. Your first message, send exactly this and nothing more: "Welcome. Before we start, one question so I point you the right way. Where do your operator statements live right now? (A) PDF files the operator emails or you download from EnergyLink (B) Already exported to Excel or CSV (C) Paste-able text you can copy (D) A mix Reply with the letter that fits best." After they answer, walk them through setup for their path, in plain steps, one screen at a time: 1) Open Claude. Go to claude.ai or the Claude desktop app and sign in. If their company has Claude for Work or Enterprise, tell them to use it, because their statement data then stays in their own tenant and never trains a model. Say this plainly: their statements, division-of-interest deck, and owner data never reach consultance.ai and we never see them. 2) Create a private Project. Explain a Project is a private workspace that holds files and chats together. Name it something like "Non-Op Statements." Show where the New Project button sits in the left sidebar. 3) Pin the model. In the Project, set the model to Claude Opus 4.8 for the reading and reconciliation work. Explain pinning means every chat in the Project uses that model. 4) Load the data the way they chose: - Path A (PDFs): drag the operator statement PDFs into the Project knowledge panel, plus their DOI deck if they have it as a file. Explain the DOI deck is the table of who owns what decimal in each well. - Path B (Excel or CSV): upload those into the Project, or open the Claude Excel add-in on the workbook they key into. If they mention the Excel add-in, walk them to enable it under the Microsoft 365 add-ins menu, and note it keeps the data in their own tenant. - Path C (text): they will paste the statement text straight into the prompt when prompt 02 asks for it. - Path D (mix): tell them to pick the one that covers most of their statements and load the rest as they go. 5) First-session drill. Once data is loaded: - Paste prompt 01, the Statement Onboarding Router, into a new chat in the Project. It will ask four lettered questions. Have them answer with what the operator sent, the job today, where the data lives, and the context tokens (operator name, well list, their decimal interest, production months, states). - Then run prompt 02 to read and normalize one statement. Good output looks like a clean table with one row per property per product per month, plus a list of any pages it could not read, flagged not guessed. - Then run prompt 03 to code lines to their wells, prompt 04 to apply their decimal interest, and watch for the HARD decimal-tie gate. Explain: if the decimal on the statement does not match the decimal in their deck, the pack stops and tells them to confirm against title before trusting that property. That stop is the feature, not a bug. - Then prompt 08 gives the tie-out: what they are owed versus what they were paid, and where the gap comes from. 6) Review check before they trust anything: every number should trace to a line on the statement or a row in their deck. Any number resting on an untied decimal or an unread page is provisional until a person clears it. Anti-patterns to head off: - If the user says reading a scanned PDF is "not possible," do not agree. Tell them to upload the PDF into the Project and run prompt 02, which is built to flag the pages it cannot read rather than guess, and that a clearer scan or a paste of those pages fixes the rest. - If they ask whether their data is safe, restate the tenant point: on Claude for Work or Enterprise the data stays in their tenant, out of training, and consultance.ai never sees it. When setup is done, point them to the bonus prompts (multi-operator batch, operator fingerprint, accrual tie-out, COPAS 24-month tracker) as the next step once a single statement ties out cleanly.
Grab the whole pack as one file, or tap any prompt below to copy it on its own. Placeholders that look like {{THIS}} get swapped for your own numbers — and if you ran Step 1, Claude fills them in for you.
Browser-based. No signup. Drop in your numbers and see the trade in real time. Opens in a new tab so the prompts stay where you left them.
Reads an operator's oil and gas revenue or JIB statement PDF, codes each line to your wells, applies your decimals, and ties out what you're owed
The setup rail and every prompt above are free and stay free. The cost is your time, and the risk of wiring it wrong on live data.
Back to the prompts ↑We would deliver a private statement-reconciliation workspace: the 10 prompts loaded into your Claude tenant, your DOI deck and well master wired in, the read prompts tuned to your worst operator's layout, and the monthly batch set up across every operator you receive from. Done with you, then handed over so you own it.
Book a build call →Prompt set authored by consultance.ai. Enverus and EnergyLink are referenced as the incumbent workflow being replaced, no affiliation implied. Your statements, DOI deck, and owner data stay in your own Claude tenant; we never see it. This is not tax, legal, or accounting advice; a named human signs off any decimal that does not tie against title before any number is trusted.
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Oil & Gas Statement Reader is a finance and data build in the consultance.ai AI Build Library. Reads an operator's oil and gas revenue or JIB statement PDF, codes each line to your wells, applies your decimals, and ties out what you're owed. For non-op owners and revenue accountants. It fits Non-operated working-interest owners, revenue accountants, JIB analysts, and controllers at 5M to 500M dollar E&Ps who receive operator statements as PDFs and key them by hand. Setup difficulty is Medium, with 4 plain-English steps.
Reads an operator's oil and gas revenue or JIB statement PDF, codes each line to your wells, applies your decimals, and ties out what you're owed. For non-op owners and revenue accountants.
It fits Non-operated working-interest owners, revenue accountants, JIB analysts, and controllers at 5M to 500M dollar E&Ps who receive operator statements as PDFs and key them by hand.
Medium to set up — one guided setup instruction covering 4 plain-English steps, plus 10 ready-to-run prompts on the resource page.
We would deliver a private statement-reconciliation workspace: the 10 prompts loaded into your Claude tenant, your DOI deck and well master wired in, the read prompts tuned to your worst operator's layout, and the monthly batch set up across every operator you receive from. Done with you, then handed over so you own it.
Prompt set authored by consultance.ai. Enverus and EnergyLink are referenced as the incumbent workflow being replaced, no affiliation implied. Your statements, DOI deck, and owner data stay in your own Claude tenant; we never see it. This is not tax, legal, or accounting advice; a named human signs off any decimal that does not tie against title before any number is trusted.
Oil & Gas Statement Reader is the starting point. On a free AI audit we map where it fits your stack and what consultance.ai would build around it.
This build comes from our AI consulting and AI implementation practice — see the full AI in finance guide and how we work with CFO teams.