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AI agents that run your tax routine end to end

RPA automates clicks; AI agents execute processes. Trained on your business's rules, they query portals, read and classify documents, assemble and cross-check obligations — logging every step in auditable records and escalating to a human whenever a case falls outside the pattern. It is the next level after RPA, with expert supervision on every delivery.

Real examples

Routines already running on Azets agents

  • e-CAC without the queue — queries, downloads and case tracking at the Brazilian Federal Revenue via electronic power of attorney, in batch and hands-free.
  • Tax document triage — reading and classifying incoming e-mails and attachments (invoices, notices, payment slips), automatically routed to the right workflow.
  • Recurring cross-checks — periodic PIS/COFINS and other tax matches between XML, SPED and ERP, with a divergence report per period.
  • Obligations in batch — assisted generation and transmission of routines such as DCTFWeb for multi-entity operations.
  • XML repository integration — continuous capture of electronic tax documents straight from the sources, with no manual forwarding.

How it works

AI with direction and review — never loose

01 · PROCESS

Experts define

Tax professionals and accountants map the process, the rules and the agent's decision boundaries — what it can resolve alone and what escalates for review.

02 · SETUP

An agent trained on your context

The agent is configured with your registrations, layouts and specifics — and tested against real cases before taking over the routine.

03 · EXECUTION

End to end, with logs

The routine runs continuously, with every action recorded in an auditable log and every output pointing to the source document.

04 · SUPERVISION

Humans on the exceptions

Out-of-pattern cases are escalated to experts; the agent learns the treatment and the process becomes more autonomous with every cycle.

Security first. The heavy processing runs on deterministic pipelines; the AI receives only the minimum data required, sanitised, and API contracts guarantee your data never trains models.

Frequently asked questions

Straight to the point

What is the difference between AI agents and RPA?

RPA repeats clicks and fixed steps — and breaks when the screen or the file changes. AI agents understand the goal of the task: they read documents with varying layouts, classify new cases, decide the next step within the rules defined by the experts — and escalate to a human whenever a case falls outside the pattern.

What if the AI hallucinates in a tax process?

The architecture was designed so that this never becomes a risk: the heavy lifting runs on deterministic pipelines; the AI acts in specific steps and every output has an auditable trail pointing to the source document. No conclusion reaches the tax authorities or you without expert validation.

Is my data safe?

Yes. Data is processed in a controlled environment, models receive sanitised, minimal information for each task, and API contracts guarantee the data is never used to train models. Everything under a confidentiality agreement and in compliance with the LGPD.

Where should we start?

With the routine that consumes the most hours from your team: recurring e-CAC queries, triage of documents received by e-mail, periodic obligation cross-checks. The diagnostic maps those routines and prioritises them by hours saved.

Which of your team's routines would an agent take over first?

Book a diagnostic: we map your processes and return the routines prioritised by hours saved.