From incoming documents to a checked register

The work we start from

Imagine a team receiving order documents from partners. Files come in different layouts, and an employee needs to enter the date, number, sender, line items and other agreed details in a shared register. Some time goes into reading and transferring information, and some into resolving omissions and duplicates. In the example scenario, an AI assistant prepares a record and highlights points that the original cannot confirm.

For the first discussion, choose one document type and one result, such as a register of incoming requests for a specific area. This allows precise descriptions of fields and exceptions. Extracting information does not itself approve a request, authorise payment or establish that a document is valid. Such decisions belong to the subsequent process and remain with the responsible employee.

What needs defining before processing

First examine which data the recipient actually needs. “Date” could mean the creation date, arrival date or date of an event mentioned in the text. An order number and document number are not always the same either. Define the meaning of every register column and show the value's source in examples. If a file contains several plausible values, the selection rule should be clear to the reviewer.

Discuss representation separately. A number with leading zeros must not silently become an ordinary number, and one line item must not merge with another merely because the names are similar. Amounts and quantities need the units and notation used in the document. If information is missing, leave the field empty with an explanation rather than assign the most likely value.

How files are received

In this example, documents arrive in a selected work folder. Another source can be discussed if its capabilities and permissions support a connection. On arrival, retain the link to the original and how the file entered processing. This lets the employee open the exact material behind a row, even if a corrected version appears later.

Check the file's content before extraction. One attachment may contain several documents, while a photograph may include extra pages or a cropped edge. Choose a route for such cases in advance: split the material appropriately, request another file or send it for manual review. A PDF extension alone says nothing about readability.

What the assistant's proposal looks like

The employee receives a draft register row with a link to the source. An ambiguous field has a clear note beside it: for example, the number is difficult to read or different parts of the file show different dates. This helps check specific points instead of searching the whole document for the reason for doubt. If the interface can show the relevant passage beside a value, test that separately.

Review means comparing information with the document and process rules. A formally completed row is not necessarily correct. For example, a recipient name might enter the sender column, or a page subtotal might enter the overall total field. Control examples should distinguish values by purpose, not merely by the presence of text or a number.

How to distinguish duplicates from corrections

A document is sometimes resent under another filename. In another case, a corrected version arrives under the old name. The attachment name therefore cannot be the only duplicate indicator. Before configuration, define which combinations of information and file characteristics are used to compare records and which differences require employee judgment. Similar documents must not be merged without such a rule.

A corrected version should remain linked to its predecessor if the recording procedure requires it. The reviewer should be able to see what changed and which version is confirmed for the register. This example does not silently replace already agreed data: first determine the change's purpose, then apply it through the established route and retain a clear status.

What happens after confirmation

Checked information can be sent to an agreed spreadsheet or work system. Support for the required writing method depends on selected tools, permissions and interfaces. Before the action, define which rows may be added, which existing data may change and how the receiving system reports success. Test these conditions separately from extraction quality.

A connection error does not automatically mean the record is absent. The operation may have completed without a response, so check the result before retrying. If the action failed, the employee sees what information is ready and what still needs transferring. This status helps continue the process without creating another entry for the same document.

How to assess the pilot

The control set should reflect variations of one task. It can include a document with a table, several similar dates, an incomplete scan, a duplicate attachment and a correction to previously received material. Prepare expected fields and an acceptable route for each example. Check not only retrieved values but also what the assistant correctly left unknown.

Together with the employee, assess the path from arrival to a confirmed register: reading results, making corrections, opening sources and transferring them onward. This shows which parts became easier and where an extra step appeared. An example does not justify promises of percentage accuracy or time savings; criteria and results are determined using materials from the particular process.

How to discuss implementation

For a conversation with ASK ARMONIVO, prepare anonymised examples of one document type and a blank version of the desired register. Identify which details employees currently check most carefully and what counts as a finished result. After clarifying file quality, variations, connection methods and exception handling, we can define document AI assistant implementation scope and estimate the cost.