Use case

Administrative process automation with AI

The tasks that repeat every day in admin and finance, such as collecting, reconciling, registering and answering routine emails, are done by AI. The team approves what matters and handles the exceptions.

The scenario

How it works today, without automation.

The admin team's day starts with the same list: check the bank statement, record payments, chase late payers, register the new customer and answer the same old emails. Little time is left for what needs a decision.

  1. 01Payment recording and bank reconciliation done line by line.
  2. 02Collections are late because nobody had time to send the reminder.
  3. 03Customer and supplier records typed by hand, with tax ID and address errors.
  4. 04The same routine emails written from scratch several times a week.
How it works with AI

The flow, step by step.

  1. 01

    The routine starts

    On a schedule, when an email arrives or when something changes in the system.

  2. 02

    AI gathers the data

    Pulls what the task needs from the ERP, the bank, email and spreadsheets.

  3. 03

    Performs the task

    Reconciles, collects, registers or drafts the reply, following the company's rules.

  4. 04

    A person approves what matters

    Payments, amounts above the limit and exceptions wait for approval.

  5. 05

    Everything is logged

    Every action is recorded, with what was done and why.

Sample proposal

What would be delivered.

Deliverables

  • Mapping of routines and selection of the most time-consuming ones.
  • Automation of each routine with the company's rules.
  • Human approval steps and exception alerts.
  • History of every action and a dashboard of time saved.
// connected systems
  • ERP (Bling, Tiny, Omie and others)
  • Bank (statement and API)
  • Email
  • Google Sheets or Excel
  • WhatsApp
  • Federal Revenue (CNPJ lookup)

Stages

  1. Discovery

    Mapping the routines, the time each one takes and the rules.

    2 to 3 days
  2. First routines

    Automation of the 2 or 3 most time-consuming routines.

    2 to 3 weeks
  3. Testing with the team

    The routines run alongside the manual work until the results match.

    1 week
  4. Go-live and next routines

    Production launch and choice of the next routines.

    ongoing
Typical timeline
3 to 5 weeks

The final timeline is set in the proposal, after discovery.

Frequently asked questions

Questions about this use case.

Which routines can be automated first?

The ones that repeat with a clear rule: payment recording, reconciliation, collection reminders, registration from the tax ID and routine emails. During discovery we measure which takes the most time.

Does the AI handle the company's money?

Not without approval. Payments and any action above the defined limit wait for a person to approve them.

What if the routine changes?

The rules are documented and can be adjusted. Small changes are covered by support; new routines become a new stage.

Do I need to change my ERP?

No. The automation works with the ERP you already use, through an API, file import or database access.

Want to see how it would work in your company?

You explain the problem. We build the solution. A straight answer, no generic proposal.