AI agents in document workflows – how they automate work with contracts, orders and invoices

A traditional electronic document workflow sends a file along a set path: from reception to the department, from the manager to the director. However, it does not understand the content. Someone still has to read the document, recognise its type, retype the data and decide where to send it.

This is exactly the work an AI agent takes over. The list below shows a document’s journey and the points where the agent helps. Approval and saving to the system work as in an ordinary workflow, only without the manual preparation of the case.

KSeF has changed the picture for invoices. Most invoices from Polish suppliers now arrive through the state system as data in fixed fields, so they do not need to be read from a scan. An agent can still help describe and check them, but reading them is no longer a problem.

Most of the remaining work is with documents that arrive in any format. The table below sorts the typical documents of a mid-sized company by what an agent can realistically do with them.

A company that works in Microsoft 365 does not need to buy a separate document platform. The elements in the list below can be combined into a single workflow, and documents stay in SharePoint, where employees already look for them.

A practical point concerns approvals. A single Power Automate flow run lasts a maximum of 30 days, so a document that waits longer drops out of the workflow. That is why reminders and deputies need to be planned from the start, not after the first cases go missing.

An agent will sometimes misread a number, confuse the type of document or miss an unusual clause. That is why the rules for handing a case over to a person must be agreed before launch. Three thresholds are most common: low reading confidence, an amount above the limit, and a mismatch with the order or price list.

Take a hypothetical distribution company with 80 employees that receives 600 orders a month by email. Let us estimate that entering one manually takes 7 minutes, which is 4,200 minutes, or about 70 hours a month. If the agent prepares the orders and a salesperson checks each one in 2 minutes, that is 1,200 minutes, or 20 hours.

The difference is about 50 hours a month. Plug in your own figures: the number of documents, the measured handling time and a realistic checking time. Add to the costs the licences, preparation, and the time of the person who reviews the agent’s errors each month.

Documents contain personal data, prices, contract terms and financial data. The agent must therefore work within the same rules as the rest of the company’s systems, not alongside them. The list below sets out the settings you need to prepare.

Retention is a separate matter. Accounting documents and contracts have statutory retention periods, and the agent must not delete or change them after approval. Retention policies in Microsoft Purview, the data protection tool in Microsoft 365, let you enforce this for an entire library.

You may come across a proposal for one agent to recognise the document, a second to read the data, a third to check compliance and a fourth to coordinate everything. Such a setup makes sense with very varied documents and many systems. In a mid-sized company it is usually overkill.

Each additional agent is one more place where something can go wrong, and one more thing to maintain. For a first workflow, a single agent, or even a single Power Automate flow with an AI Builder model, is enough. Only consider expanding once the workflow is running and you know its weak points.

The safest start is one document type, one approval path and one connection to a system. This scope lets you measure the results quickly without bringing the department to a halt if something does not work. The list below describes the steps.

An agent is not needed when documents already arrive as structured data, like invoices from KSeF, or when they can be replaced with a form. Nor will it pay off with a few dozen documents a month that an employee handles in a few minutes.

The most common mistake is automating chaos. If nobody knows who approves contracts and by when, the agent will simply deliver the document to the wrong person faster. Start with the workflow rules, and choose the technology afterwards.