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Available via Dashboard only.

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Overview

A batch transfer lets you load, authorize, and execute up to 5000 transfers from a single file. Use it for payrolls, supplier payouts, or daily client disbursements.

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Key benefits

  • Upload up to 5000 transfers in one file.
  • Validate data automatically.
  • Review batches before executing them.
  • Require multi-factor authentication (MFA) before funds move.
  • Track progress and outcomes per batch or per individual transfer.

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How it works

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1. Create a Batch Transfer

  1. Go to Transfers → Batch Transfers in your Fintoc Dashboard and click “Create”.
  2. Assign a description, for example Pagos de octubre.
  3. Download the country-specific template:

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2. Fill out the template

Each row represents one transfer.
In Chile, Fintoc splits any transfer row over 7,000,000 CLP into multiple independent transfers.

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3. Upload your file

  • Fintoc supports CSV files.
  • Fintoc shows validation messages when it finds errors.
If you see an error, correct your file and re-upload it. Fintoc shows warnings, such as duplicated rows, but they do not block the upload.

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4. Review and confirm

Before creating your batch:
  • Review the total number of transfers and total transfer amount
  • If needed, go back and upload a new file
After confirming, your batch appears under Pending Authorizations.

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5. Authorize the batch

  1. Go to the Authorizations tab and select your batch to open its details.
  2. Review the batch one last time.
  3. Choose an action (cannot be undone):
    • ✅ Authorize (requires MFA)
    • ❌ Reject

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6. Execution and tracking

Once fully authorized:
  • The batch moves to in_progress.
  • Each transfer appears individually in your Transfers view as pending, then succeeded or failed.
  • If some transfers fail, for example because of insufficient balance, the batch ends as partially_succeeded.
  • Batches expire automatically after 2 weeks if not authorized.

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Test the integration

Confirm the batch reaches succeeded or partially_succeeded in your Transfers view. If any rows are failed, check their failure reason before retrying them.

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Batch statuses