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Finance and data

Statement Matching and Reconciliation

For CFOs, controllers, and fund accountants: 10 prompts plus an offline extractor that match scanned bank, custodian, and brokerage statements to your ledger in seconds and return only the breaks, on your own machine. An alternative to BlackLine.

Have us build it — and hand you the keysor set it up yourself ↓

Rent it forever, or own it once.

For CFOs, controllers, and fund accountants: 10 prompts plus an offline extractor that match scanned bank, custodian, and brokerage statements to your ledger in seconds and return only the breaks, on your own machine

Path A

Set it up yourself

The setup prompt and 10 task prompts are below — free. The cost is your time, and the risk of wiring it wrong on live data.

Jump to the prompts ↓
Path B

We wire it into your business

We would deliver a deployed recon desk: the offline extractor installed and tuned to your statement formats, the prompts loaded into your Claude tenant, your matching tolerances set from your own history, a break report template mapped to your reviewers, and a compliance overlay for your sign off. Done with you, then handed over so you own it and the data never leaves your machine.

Book a build call →
Source repo
https://github.com/opendatalab/MinerU ↗

The code is public and free. The setup prompt below installs and wires it for you.

Step 1

Paste this setup prompt — Claude installs it for you

Easy mode · paste this into Claude

Claude installs it for you, step by step.

Never used Claude before? It is free to start. Open it in a new tab, copy the prompt, paste it in. It asks one question, then walks you through everything.

  1. Step 1
    Open claude.ai ↗

    Sign up free. No card. Takes 30 seconds.

  2. Step 2

    One click. Lands on your clipboard.

  3. Step 3
    Paste + send

    Claude asks what you need + guides you the rest of the way.

Open claude.ai ↗
▸Tune the prompt for your level (optional)
▸Preview the prompt (you do not need to read it)
I want to set up the Statement Matching Pack and reconcile my first real statement against my ledger before the close. Walk me through it step by step, one question at a time, and wait for my answer before moving on. I am a CFO, controller, or fund accountant, not a developer. Define every term once. Keep me to one action per message.

## What this produces
A statement matched to my ledger in seconds, with only the breaks coming back for me to review: duplicates, timing differences, missing wires, amount mismatches, each with a reason. The extraction runs offline on my own machine, so the statements never leave the building. A footing proof at the end shows the reconciliation actually ties before anything books.

## Step one, ask me this first, nothing else
"Is the statement you want to match a clean digital export (CSV or native PDF), or a scanned or photographed PDF? Either works. I just need to know whether we turn on the offline reader for scans."

Wait for my answer. Then continue, one step per message:

## The path you walk me down
- Classify my setup as CLI plus chat (we install the offline reader once, then everything else is in Claude). Tell me the one command to install it, where to paste it, and what success looks like.
- Have me extract one statement with a single command, then check the extracted closing total against the printed total on the statement before we go further. Stop me if it does not match and help me fix the extraction.
- Walk me through creating a Claude Project named "Recon Desk" and pasting the house rules (match on amount, date, reference; never invent a transaction; never mark a break resolved on your own; mask account numbers to last four; list everything that does not match and why).
- Have me load the two inputs: the extracted statement rows and my ledger export.
- Run the first match with me on a small set, then read the break list together so I trust it before I run the full statement.
- Set my tolerances (how many days counts as a timing difference, how many cents counts as a near match) from what my own data shows, not a guess.
- Finish with the footing proof: opening plus matched activity plus or minus breaks equals closing. If it does not foot, name the exact gap.

## The first session drill
By the end of this session I should have: one real statement extracted offline, matched against my ledger, a break report with every account number masked to last four, and a footing proof that ties. Then show me the one line command and the prompt order so next month's close is a checklist, not a rebuild.

Before you tell me the reconciliation is done, re derive the matched total and the break total, confirm matched plus unmatched equals the total on both sides, and confirm it foots. Do not say it is ready until that check is clean. I review every break and sign the reconciliation myself.
Step 2

Step 1 installed it. Now run these 10 prompts on your own data.

the vault

The 10 prompts

Tap a prompt to jump to it. Hit copy. Replace the tokens. Paste into Claude Opus 4.7.

Free access

Unlock the complete library.

Enter your name and email to open every setup prompt and the full vault. No spam. No blasting. Always free.

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where it breaks

Before you connect live data

  • • Run dummy data first. Real client data is not a test bed.
  • • API keys never go in a public repo. Use env vars and a secrets manager.
  • • Add logging, access control, monitoring, and a rollback path before launch.
  • • Read the license. Forking a repo without checking is how lawsuits start.
license note

Credit the original author

Prompt set authored by consultance.ai. MinerU is Apache 2.0 and runs offline on your machine. No affiliation with BlackLine or Trintech implied. The statements never leave your machine; a named human reviews every break and signs the reconciliation. Not accounting, audit, or financial advice.

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in one line

What is Statement Matching and Reconciliation?

Statement Matching and Reconciliation is a finance and data build in the consultance.ai AI Build Library. For CFOs, controllers, and fund accountants: 10 prompts plus an offline extractor that match scanned bank, custodian, and brokerage statements to your ledger in seconds and return only the breaks, on your own machine. An alternative to BlackLine. It fits CFOs, controllers, fund accountants, and PE or family office finance teams whose month or quarter end is days of matching scanned bank, custodian, and brokerage statements to the ledger line by line. Setup difficulty is Medium, with 5 plain-English steps.

What does Statement Matching and Reconciliation do?

For CFOs, controllers, and fund accountants: 10 prompts plus an offline extractor that match scanned bank, custodian, and brokerage statements to your ledger in seconds and return only the breaks, on your own machine. An alternative to BlackLine.

Who is Statement Matching and Reconciliation for?

It fits CFOs, controllers, fund accountants, and PE or family office finance teams whose month or quarter end is days of matching scanned bank, custodian, and brokerage statements to the ledger line by line.

How hard is Statement Matching and Reconciliation to set up?

Medium to set up — 5 plain-English steps on the resource page.

How would consultance.ai build this out?

We would deliver a deployed recon desk: the offline extractor installed and tuned to your statement formats, the prompts loaded into your Claude tenant, your matching tolerances set from your own history, a break report template mapped to your reviewers, and a compliance overlay for your sign off. Done with you, then handed over so you own it and the data never leaves your machine.

What are the licensing terms?

Prompt set authored by consultance.ai. MinerU is Apache 2.0 and runs offline on your machine. No affiliation with BlackLine or Trintech implied. The statements never leave your machine; a named human reviews every break and signs the reconciliation. Not accounting, audit, or financial advice.

Want this built into your workflow?

Statement Matching and Reconciliation is the starting point. On a free AI audit we map where it fits your stack and what consultance.ai would build around it.

Book your free AI audit