Sorting Dutch business mail with AI: agree what needs human review

If your business operates in English but receives Dutch correspondence, start with the handover you want to improve. For mail from the Belastingdienst, the Dutch tax authority, a gemeente, the local municipality, or a supplier, define what your team needs to see before anyone takes the next step.

This is a way to scope a mail-sorting tool. It does not explain Dutch tax or administrative rules, or assess what a particular letter requires. The proposed task is to prepare information for a person to review.

Choose the output before choosing the AI tool

AI software can help extract information, classify it or prepare a summary. Monad’s automation approach starts by defining that output and deciding where someone should check it. For a mail workflow, discuss whether you need a proposed category, an English summary or a record ready for review.

Choose the information that a reviewer needs alongside the original message. Keep the desired output specific enough to check against that input. A request to handle all Dutch mail leaves too much undecided for a first working version.

• Describe which incoming messages the first version should handle.
• Specify the proposed output and where your team should receive it.
• Name the person responsible for reviewing it.
• Decide what happens when a message cannot be handled as expected.

Keep review separate from permission to act

A proposed category or summary is a different task from sending a reply or changing a business record. Monad can design a workflow that prepares a draft or suggested action for approval. The actions it may take and its access to tools are part of the design.

For the first version, decide whether the workflow only prepares information or also passes an approved result to another system. Describe any approval step explicitly. Do not treat a proposed summary as authority to respond to a letter.

Use ordinary rules where the next step is predictable

Not every step needs AI. Rules and ordinary software are often suitable when the next step is predictable. AI may fit language or less structured information when its output can be checked appropriately.

Walk through the route from incoming mail to review. Identify which steps need language processing and which simply move agreed information between systems. This helps define the role of AI without giving it responsibility for the whole process.

Test the awkward messages as well

Monad builds bounded workflows and evaluates them with representative inputs. For AI steps, we check output quality and failure cases before expanding the role. Bring examples that show your normal work as well as the exceptions and manual checks.

For this proposed workflow, assess whether a reviewer can check the suggested category or summary against the original message. Agree how an unclear result reaches a person. This assessment is about whether the output is usable for the task, not whether the software can give a legal interpretation.

Agree who owns the workflow

Connecting the workflow to your systems also requires decisions about logging, review and failure handling. Name the person who checks the output and the person responsible when a step fails. Include these decisions in the scope of the first version.

Monad starts with a free intake conversation, followed by a fixed quote for a first working version. Bring one recurring mail task, examples of how you handle it today and the systems involved.

Read about automation and AI agents or describe your task. Include your company and the part of the mail workflow you want to have built.