Águia Sistemas

Águia Sistemas: 17 finance tasks automated with AI.

4h/dayfreed up in the department's routine
Daniela Kuhn walks through the finance automations, in Portuguese · 11 min

Daniela Kuhn, senior financial analyst, listed 25 manual tasks in her routine and automated 17 of them with artificial intelligence, 8 of which now run on a schedule, with no command needed.

Context

In the day to day of the finance department at Águia Sistemas, much of the time went into manual, repetitive tasks: reports, reconciliations, collections and analyses that kept piling up. The proposal with Inbix was to put artificial intelligence to work inside that routine, rather than as a project on the side.

Finance automation
Daniela KuhnSenior Financial Analyst · Águia Sistemas

From mapping to automation: 17 finance routines become AI.

Daniela listed 25 manual tasks in her finance routine and now has 17 of them automated with artificial intelligence. Of those, 8 run on a schedule, automatically, with no command needed.

Result

freed up in the department's routine4h/day
manual tasks automated17 of 25
routines running on a schedule8
AI tools in useClaude + Gemini

From the workshop to the operation

The Inbix AI workshop ran for 2 months, with sessions every two weeks and mentoring dedicated to each project. The final session of the first Águia Sistemas group took place in June 2026. The next day, Daniela already had access to Claude and started talking to it through the chat, with no previous programming experience:

“You ask it to do things the way you would ask an intern. The difference is that it does not make mistakes, and that it understands everything.”

— Daniela Kuhn

On that first day she had already automated simple tasks, such as drafting emails to customers, a process that on its own took almost a full morning of work. By the time she presented the solution to her manager and the rest of the department, she already had automations running:

“It was easy to convince everyone that we needed to adopt this, because they were watching it work.”

— Daniela Kuhn

“Águia today has 1,537 employees, and the finance area is three people. So it is a huge responsibility: wherever she can cut down the time of her activity, it makes a big difference.”

— Diogo Amaral, IT Manager, Águia Sistemas de Armazenagem S/A

The impact on the team

With the routines automated, the colleague who shared Accounts Receivable with Daniela no longer needed that role in the department and could dedicate herself fully to another activity that had been demanding more time. With the time she gained, Daniela began giving more attention to complex analyses, decisions and new initiatives within finance.

Among the other routines Daniela automated are the daily clearing of accounts receivable, the automatic filling of invoice forms for the Shopee and Mercado Livre sales channels, and a financial planner that organizes the overall management of the department.

From mapping to results

  • A lean team (3 people for 1,537 employees) makes every hour saved have a significant impact on the operation
  • Implementation started the day after the workshop, with no dependency on programming or specialized technical support
  • Automation does not remove human review: emails stay as drafts until final approval
  • The time freed up allows people to be reassigned to higher value work
  • The process was incremental: it started with the simplest tasks and scaled as confidence in the tool grew

Third group

Águia Sistemas has already started the third group of the AI workshop, extending the projects to new areas such as workplace safety, technology, operations and legal. The running total has reached 50 projects proposed since the program began, a sign that AI adoption is starting to become part of the company's routine as a whole.

I was able to list 25 tasks in my routine that were done manually, and today 17 are automated by AI. Eight run automatically, on a schedule, with no command from me. That freed up 4 hours in my department's routine so I can take on other tasks and solve the day to day problems.

Daniela Kuhn, Senior Financial Analyst · Águia Sistemas
Daniela on what changed in her routine, in Portuguese · 2 min

Your company can be the next case.

Let's get your team learning and using AI for real, with results in the daily routine.