Robotic Process Automation (RPA) is a technology that uses software to execute repetitive tasks on digital systems by mimicking the actions a human would take in front of a screen: clicking, copying and pasting data, filling out forms, downloading files, and moving information between applications.
Unlike a physical robot, an RPA "bot" exists purely as software. It operates on the graphical interface of the same tools your team already uses—ERP systems, web portals, email clients, spreadsheets—without requiring changes to those systems or access to their source code.
How an RPA Bot Works
An RPA bot follows a predefined sequence of steps called a workflow:
- Trigger: the bot is activated by an event (a scheduled time, an incoming email, a new file appearing in a folder).
- Read: it opens an application or webpage and reads data from the screen or a document.
- Process: it applies business rules to validate, transform, or classify the information.
- Write: it enters data into another system, generates a report, or sends a notification.
Everything happens with the same logic a person would follow, but faster and without data-entry errors.
RPA vs. API Integration vs. AI
It is worth distinguishing RPA from other forms of automation:
| Approach | How it connects systems | Requires code access | |---|---|---| | API / middleware | Direct system-to-system communication via web services | Yes — the app must expose an API | | RPA | Interaction through the graphical user interface (UI) | No | | AI / ML | Decision-making over unstructured data (text, images) | Depends on the use case |
RPA shines when systems have no available API or when API-level integration would be prohibitively expensive.
When Does RPA Make Sense?
RPA is a strong fit when tasks share these characteristics:
- Repetitive and rule-based: the process always follows the same logic without requiring subjective judgment.
- High volume: executed dozens, hundreds, or thousands of times per day or month.
- Multiple systems with no native integration: data must move between applications that do not communicate with each other.
- Manual data entry prone to human error: hand-keying that creates inconsistencies or requires constant review.
If the process requires interpreting natural language, complex images, or ambiguous decisions, it is typically paired with AI (covered below).
Attended vs. Unattended Bots
There are two primary operating modes:
Attended bots: run on the user's own computer and collaborate with them in real time. The employee starts the bot manually or with a shortcut, and the bot completes portions of the process while the human supervises or approves critical steps. Best suited for customer service or approval-based workflows.
Unattended bots: operate on servers or virtual machines without human intervention, typically overnight or in the background. They process large volumes autonomously and flag exceptions for the team to review.
Real-World RPA Examples
- CFDI invoice download and validation: the bot accesses the SAT portal or a supplier portal, downloads XML invoice files, and reconciles them against the accounts-payable system.
- Cross-system data entry: extracts orders from a customer portal and registers them in the ERP without manual intervention.
- Bank reconciliation: compares bank statement transactions against internal records and marks discrepancies for review.
- Report generation: consolidates data from multiple sources (ERP, CRM, spreadsheets) and produces a formatted report every Monday at 7 a.m.
- Vendor onboarding: captures registration form data and replicates it into the purchasing and treasury modules of the ERP.
For a broader look at automation before diving deeper into RPA, we recommend reading What Is Automation? first.
Benefits of RPA
- Speed: bots complete tasks in a fraction of the time it would take a person.
- Availability: they run 24/7, including weekends and holidays.
- Accuracy: they eliminate data-entry errors and apply business rules consistently.
- Scalability: additional bot instances can be spun up to handle demand spikes.
- Measurable ROI: automating high-volume manual tasks produces a clear, quantifiable reduction in person-hours.
Limitations of RPA
RPA is not the right solution for everything. Its main limitations include:
- UI fragility: if a vendor updates their application's interface (moves a button, renames a field), the bot can break and requires maintenance.
- Not suited for unstructured processes: when data arrives in highly variable formats or the process depends on human judgment, RPA alone is not enough.
- Requires governance: without a monitoring and maintenance strategy, bots can become outdated or generate silent errors.
RPA + AI: Hyperautomation
The current trend combines RPA with artificial intelligence capabilities to create what Gartner called hyperautomation. This means adding to the bot:
- Optical Character Recognition (OCR): to read scanned documents or unstructured PDFs.
- Natural Language Processing (NLP): to interpret emails or free-text comments.
- Machine learning: to make decisions based on historical patterns rather than fixed rules.
With these components, the bot moves beyond being a simple "repeater" and becomes an agent capable of handling exceptions and more complex processes.
Next Steps
If you have repetitive processes consuming hours of your team's time, RPA can be the starting point. At AISDC we design and implement automation solutions tailored to the operational reality of businesses in Mexico and Latin America.