AI agents can take on a lot of operational work, but the outcome depends on where you start. Starting from the wrong process leads to disappointment; starting from the right one shows value within weeks.

The useful question is not "what can AI do?", but "which work, in my company, has the right characteristics to be handed to an agent?".

Three questions to spot a good candidate

Before you choose, look at each task through these three questions.

  1. 01Is it repetitive? It is done often, always by the same rules.
  2. 02Is the result verifiable? It is easy to tell whether the work is done well by comparing it with a document, a total or a rule.
  3. 03Is a mistake recoverable? If something goes wrong it can be corrected without damage, and a person approves before the work takes effect.

If the answer is yes to all three, you have a good starting point.

To postpone

  • Decisions that differ case by case
  • Result that is hard to judge
  • Costly or irreversible mistakes
  • Information passed on verbally or only on paper

To start with

  • Clear rules, always the same
  • Verifiable result
  • Recoverable mistakes, with approval
  • Data and documents already digital

The four processes to consider first

In most companies the first candidates are the same.

  • Data entry: orders, master data and line items to be copied from one system to another. It is repetitive work par excellence, and the result can be checked line by line.
  • Document reading: amounts, due dates and codes to be extracted from invoices, orders and attachments.
  • Recurring reports: the same numbers, gathered from the same sources, every week or every month.
  • First-line support: sorting requests, preparing a draft reply and handing over to an operator the cases that need one.
Starting from the right process shows value within weeks.

How to set up your first project

A successful first project is small, measurable and controlled.

  1. 01Choose a single process, among those that pass the three questions.
  2. 02Measure where you are today: how long it takes, how often it is repeated, where mistakes arise.
  3. 03Decide what the person approves: which steps the agent can complete on its own and which need a sign-off.
  4. 04Start side by side: for the first few weeks the agent works alongside the person who does the task, who checks every result.
  5. 05Compare and expand: when the numbers hold up, move on to the next process.

The most common mistakes

  • Starting from the most complex process, because it is the one that weighs the most. It is better to get there later, with the experience of the first ones.
  • Not measuring the starting point: without a before, the after cannot be demonstrated.
  • Removing human approval too soon: trust is built by seeing the agent work well, not by taking it for granted.

People stay at the center

An agent doesn't replace judgment: it prepares the work, checks it and brings it for approval. The people who know the process decide what is correct, and the time that used to go into repetitive tasks becomes available again for work that requires experience.

It's the same principle we built Sinapse Agent, our AI agent platform, on: nothing is written to the company's systems without a person's approval. You can see it at sinapseagent.ai.

  • AI agents
  • Automation
  • Processes