More than 130 million Argentine pesos processed in 60 days.
Case study · Operations automation · Argentina
An operation that outgrew the workday.
How Carga Virtual turned payment receipts arriving on WhatsApp into an operation that can interpret, validate, load, retry and leave evidence at any hour.
Input / WhatsApp
Operations engineCV / AUTO
Output / Platform
Top-up confirmedEvidence recorded
Full traceability
59/60 active days
24/7 operating queue
Anonymized representation of the flow
Verified window · 60 daysCutoff · Jul 29, 2026
Transactions completed successfully during the window.
Ended in a successful top-up. Not to be confused with OCR accuracy.
More than four in ten top-ups happened between 8:00 p.m. and 8:00 a.m.
The real problem
One person could handle the top-ups. Not around the clock.
Receipts arrived at any hour. The challenge wasn't automating a click: it was sustaining the reading, validation, loading and traceability without turning every night or weekend into a backlog.
Flow simulation
The system carries the operation.
The chain keeps going at any hour and saves human attention for the cases that need judgment.
- Continuous processing
- Consistent rules and evidence
- Exceptions visible for supervision
Inside the system
Seven steps. One verifiable story.
The automation isn't a black box. Every receipt goes through a visible chain of decisions and can stop when something doesn't add up.
Step 01 / 07WhatsApp
Receive
The receipt comes in through the channel the user already uses, without asking them to change how they work.
What turns a bot into infrastructure
Exceptions get a route too.
Automating the perfect case was only the beginning. Trust came when the system learned to protect the operation from the unexpected.
Direct route
The data matches. The top-up goes ahead.
The transaction passes validation, is recorded on the platform and keeps evidence of the result.
01Interpret→
02Validate→
03Load→
04Confirm
System outcomeTop-up completed
The workday ends. The operation doesn't.
Four in ten arrived after hours.
Between 8:00 p.m. and 8:00 a.m., 643 top-ups were completed. The system also logged successful activity on 59 of 60 days. That's the difference between automating a task and sustaining a service.
25.3Average daily top-ups
176Weekend top-ups
42Highest in a single day
Actual distribution · 60-day window
The transformation
The system executes. The person decides.
Before, every receipt demanded attention from start to finish. Now the system handles the repetitive path and the person steps in when an exception calls for context.
01Before
One person did everything
Every receipt stopped someone to read, cross-check, load and reply.
- Read and copy data
- Validate one by one
- Load and confirm
02System
The repetitive work became a flow
We turned the operation into decisions, rules and routes that can run continuously.
- Interpret the receipt
- Cross-check and execute
- Record the evidence
03Now
The person is in charge
Human work is reserved for supervising, resolving exceptions and deciding with context.
- Supervise the operation
- Resolve exceptions
- Make decisions
The second sign of trust
From loading deposits to automating monthly collections.
Once the first flow proved it could live alongside the real operation, Carga Virtual handed over a second critical task: generating charges, checking balances, making debits, and notifying and reactivating points of sale, with traceability.
July cycle · Status as of Jul 29 In production
143/146
Points of sale charged by the close of the analysis.
118First 36 hcharged automatically
9/9Initial sweepswith no execution errors
0Duplicate debitsin the initial audit
The real result
We made manageable what a human workday couldn't cover.
Useful automation isn't the kind that impresses in a demo. It's the kind that keeps working when real cases arrive, leaves evidence and knows when to ask for help.
See more projectsAggregated, anonymized data · No people, phone numbers or individual transactions · Cutoff: July 29, 2026