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How MSphere adds AI without replacing your system

MSphere adds artificial intelligence to what the company already runs. The data stays in WhatsApp, the ERP or current APIs; AI arrives as interpretation, alerts or automation. It is not a mandatory project to replace the system.

Ready-made product or custom project

DoctorMoney and, soon, Fintrail cover specific routines. When the process is different, MSphere builds an integration or platform aligned with the system already in production.

What this is not

It is not training a model on the customer’s history. It is not forcing the company to abandon its ERP. It is not a bank or an accounting firm.

How it works in practice

  1. 1

    Map the flow that already exists

    See where the data is born (message, statement, spreadsheet, system) and which decision the team needs to make faster.

  2. 2

    Connect the channel — do not replace it

    WhatsApp, Open Finance and the APIs you already use become sources. MSphere does not require a full migration onto a new platform.

  3. 3

    Apply AI with control, not as a black box

    Every automation carries business context, validation rules and human review at critical points. We do not train models on customer data.

  4. 4

    Return something actionable

    An insight the team understands, an alert, a report or an assistant in the flow. Success is the day-to-day decision, not a “custom” model trained on your data.

  5. 5

    Handle data under the LGPD

    Purpose limited to the contracted service. No sale of personal data. Data-subject rights via the privacy policy and contato@msphere.com.br.

Frequently asked questions

No. The proposal is to integrate AI into the current flow — WhatsApp, Open Finance and other APIs.

No. We do not train models on customer data.

No. Besides DoctorMoney and Fintrail, there are on-demand AI projects.