Garbage in, errors out

Over the past 15 years, as an Enterprise Systems Implementation Consultant, I have seen too many SAP, Comarch or Symfonia projects that ended "successfully" only on paper. Technically, the system worked - the servers hummed and the interfaces shone. And yet, when it came to generating key reports for management, the CFO would pale.

Why? Because the merciless rule of computer science has worked:GIGO - Garbage In, Garbage Out (Garbage in, garbage out).

Imagine buying the latest Ferrari. It's your new ERP. But instead of high-octane fuel, you pour contaminated oil from an unknown source into the tank. At best, the car won't make full power; at worst, you'll seize the engine. In the data world, this "contaminated fuel" is information manually transcribed from invoices and PDF documents.

If you think of a document parser only as a tool that "writes faster than a human," you are making a strategic mistake. In modern IT architecture, a parser is a Firewall for Data.

Why does your ERP lie? (It's the data's fault, not the algorithm's)

As CTO or Chief Accounting Officer, you need to be aware of a brutal truth: Your ERP system is only as smart as the data you feed it. Even the most advanced business intelligence modules will become useless if fed with faulty transactional data.

In the traditional model, where the "protein interface" is a human, the average error rate is between 1% and 4%. With a volume of 5,000 invoices per month, this means from50 to 200 erroneous records infused into your company's bloodstream each month.

These errors areDark Data (Dark Data). Incorrectly assigned MPKs or mistakes in currency codes make project profitability reports literary fiction rather than business documents.

A Costly Mistake: A Case Study of "Invisible Duplicity"

Let me cite a story from an implementation at a large manufacturing company ("Company X") that, despite the new ERP system, overpaid suppliers nearly150,000 PLN. How is this possible?

The culprit was a lack of validation on the input.

1. One supplier invoicedFV/2024/10/123.
2. Employee A manually entered it correctly.
3. A week later, the same PDF went to Employee B, who hurriedly entered the number as aFV-2024-10-123 (dashes instead of slashes).

To the human eye, they are the same invoice. To the SQL database, they are two different strings (String). The system "ingested" both invoices, and the payment department let go of the two transfers.

If an advanced system stood at the entranceIDP (Intelligent Document Processing)such as Dokum, it would normalize the invoice number, detecting a duplicate at the logical level.

Parser as Firewall: How does AI clean up data before letting it into the system?

Dokum acts asdigital filter or buffer zone (Staging Area) in front of your ERP database. It performs Data Cleansing (data cleansing) in real time:

• Mathematical Validation (Sanity Check): Before the data goes to the API, the system checks whether Net + VAT really equals Gross. If not - the document is stopped.
• Contextual Master Data Verification: The system checks that the TIN exists in the CSO/VIES database and that it matches your supplier database.
• Standardization of Formats: Dates are the bane of every integrator (04.12.2025 vs 2025-12-04). Dokum normalizes them to the format required by your ERP (e.g., ISO 8601).

This gives the ERP system "premium fuel" - structured, verified and clean data.

Data Governance in Practice: From PDF chaos to database order

Implementation Dokum is the first step to a strategyData Governance in the commitment area. You create a tight data pipeline:

1. Ingestion: The document goes to Dokum.
2. Processing and Validation: AI extracts data and applies business logic.
3. Filtration: Incorrect documents are rejected for human verification, but the beyond eRP system. "Dirt" does not enter the main system.
4. Integration: Only a "clean" file (JSON/XML) is sent via API to SAP/Comarch.

Completion: an investment in truth

Dear Technical Director, Dear Chief Accountant. Implementation of Dokum this is not a project about "saving time." It's a project aboutdata security and reliability of reporting.

If you allow unverified information to enter your ERP system, it's like allowing counterfeit banknotes to be printed at your own mint.

Dokum is your particulate filter for the document stream. It ensures that what goes into your engine keeps you ahead of the competition. The principle is simple:Clean input = Clean output.

Want to see how "dirty" the data that goes into your system is? Test how Dokum filters out errors. Upload a sample of invoices and see how our "digital firewall" catches what might escape the human eye.