How to implement AI agents: choosing the right first process

Why the first process shapes everything after it

The first process to run on AI agents in production is more than a project. It builds the integration, rules and governance foundation that the next ones will reuse. If that foundation is built well, the second and third processes move faster.

It also shapes internal opinion. A clear first result gives confidence to leadership and to the team working alongside the agents. A long first project with nothing delivered drains momentum, even if the technology works. In other words, the first process is also a change management tool.

That is why the choice deserves to be treated as a business decision, involving the process owner, IT and the risk and compliance teams from the start. It also pays to align expectations: the goal of the first process is to prove value in your real operation and build the foundation for growth, not to solve everything at once.

Which criteria to use when choosing the process

Volume: the process repeats many times a day or week. Agents create value through volume, because every case they resolve frees up team time. Known rules: there is a right way to do it, even with exceptions. If people do not agree on how the process should work, the agent will not know either. The higher the volume, the faster results show up and the easier it is to compare before and after.

Accessible data: the information needed lives in systems that can be integrated, with good enough quality. There is no AI without context. Measurable outcome: you can compare before and after on handling time, rework, backlog or cost per transaction.

Controlled risk: a mistake can be caught and corrected without serious harm. That usually means starting with internal processes or ones with low direct financial impact, while keeping human approval at sensitive points. A process that meets four of these five criteria well is usually a better candidate than a highly strategic process that fails two of them.

Step by step: choosing the first process

1 · List candidates with business owners. Ask each area for the processes that consume the most team time and generate the most complaints. A list of ten to fifteen candidates is enough to get started.

2 · Score each one against the criteria. Volume, clarity of rules, data access, ease of measurement and level of risk. A simple low-to-high scale already helps separate the candidates.

3 · Check the systems involved. For the top scorers, confirm which systems the agent needs to read and where it needs to act, and whether integration is possible. This step usually prevents surprises.

4 · Set the baseline. Measure how the process performs today. Without that starting point, there is no way to prove the result later.

5 · Draw the agent’s boundaries. What it does on its own, what goes for approval, when it calls a specialist and what is recorded for audit.

6 · Start assisted, with a time frame. Have the agent operate alongside the team, with human review, for a defined period, and agree up front on what result justifies expanding.

7 · Plan the second process now. Document what was built in integration, rules and governance, and which neighboring processes can reuse that foundation. That way, the first result becomes the start of an operation, not an isolated project.

Processes that tend to be good candidates

In IT, the service desk is a frequent starting point: access requests, password resets and recurring questions have volume, rules and available data. Application support, including SAP, and infrastructure alert triage also fit well. In these cases, the agent resolves what is standard and the specialist keeps what needs analysis.

In business processes, common candidates include accounts payable and reconciliation in finance, purchase order checks in procurement, triage and routing in customer service and recurring requests in HR. In legal and in risk and compliance, agents usually start by supporting analysis, with the final decision always resting with specialists.

The best candidate, however, depends on your operation. Two processes with the same name can have very different levels of data and rule maturity from one company to the next. That is why the list above is a starting point for the conversation, and scoring against the criteria is what decides.

How Semantix helps you get started

Semantix starts with a diagnostic that shows where data and processes are holding the operation back and what that costs. In about 3 weeks, the chosen process is mapped and the company receives a readout with the operating design. Then agents and specialists work side by side with your team, and in about 90 days the model can move to an outcome-based contract.

Everything runs on the Semantix AI Suite, with integration through LinkAPI, orchestration through Agentix and governance through Safetix. Personal data is masked before it reaches the model, you choose where the models run, including in Brazil or in your own environment, every decision is recorded and what the operation learns remains yours.

You choose how far Semantix goes: use the Semantix AI Suite with your team, build together with Semantix or contract the operation. That is how Semantix, The Enterprise AI Company, builds enterprises that learn.