Agents that handle the repetitive work in your CRM and ERP.

AI agents inside the systems your company already uses. They follow up, reconcile, classify, and suggest, within the limits you set, and they ask for approval on sensitive decisions.

SalesFinanceStockSupport
  • SalesFollow-up sent on 3 stalled quotes
  • Finance42 payments reconciled with the statement
  • SupportPipeline stage updated in the CRM

Stock requests approval: buy 120 pairs of Onda sneakers in size 39 from the usual supplier, € 3,480, delivery in 5 days.

Sample simulation

The work no one should be doing by hand

  • Quotes no one remembered to follow up on

    The deal goes cold because the rep was busy with another customer.

  • Month-end spent matching statements to invoices

    Days of finance time spent on a task that follows rules.

  • An out-of-date CRM

    The team doesn't fill it in, and the sales forecast stops meaning anything.

  • Reordering after you've run out

    Stock runs out before anyone checks the spreadsheet.

Where the agents work

In the CRM

  • Qualify leads
  • Follow up on quotes
  • Update pipeline stages
  • Alert the right rep at the right time

In the ERP

  • Reconcile payments
  • Suggest purchases when stock runs low
  • Classify invoices
  • Flag what needs review

Connected to what you already use

We've already built integrations with these systems. For others, we assess the available APIs and access in our first conversation.

  • SAP
  • Marketplaces
  • Logistics
  • Payments
  • Custom APIs

You stay in control

Limits for each agent

Each agent only does what it has been authorized to do.

Human approval

Purchases, discounts, and sensitive decisions wait for your yes.

Audit trail

We log what each agent did, when, and why.

Team adoption

The agent works inside the system your team already opens every day, with no new screen to learn.

How we start

  1. Pick one process

    The one that weighs on you most today and has clear rules.

  2. Set limits and a measure of success

    What the agent can do and how to tell if it worked.

  3. Pilot with approval on everything

    The agent suggests, and a person checks every action.

  4. More autonomy, step by step

    Whatever proves reliable starts running on its own, with a log.

Working with us from outside Brazil

Tailored contract

The proposal sets out who signs, the governing law, and the jurisdiction.

Invoicing and currency

We agree on the currency and how you are invoiced.

Data

We sign a data processing agreement when needed and choose where your data lives.

Hours

Brazil overlaps with US business hours, and we set meeting and support windows with you.

Questions

Will it work with my ERP?

If it has an API or another secure way to access the data, usually yes. We assess your case in our first conversation and tell you plainly if we don't have experience with that system yet.

Can the agent make mistakes?

Yes, which is why each one has limits, human approval on sensitive decisions, and a log of everything it did.

Is our company data used to train AI?

No. Your company's data is not used to train models, and we can also run the AI on private infrastructure.

How much does it cost?

Every project is quoted individually. The cost depends on the process, the integrations, and the volume. After our first conversation, we send a proposal within 1 business day.

What task is your team tired of doing?

Start with one process and grow when it makes sense.