Automated Data Engineering: Taming the Chaos with AI and RPA

In our previous article, we diagnosed the core issue: modern companies rely on 21st-century analytics tools powered by 20th-century manual processes. The strategic solution is automation. But how does this translate into tactical execution? What specific technologies turn chaos into order?

At Sisua Digital, we approach data management by combining the precision of RPA (Robotic Process Automation) with the cognitive capabilities of Artificial Intelligence. It’s not magic—it’s workflow engineering.

Below, we explore three key technical capabilities that are transforming enterprise data management.

1. Document Understanding: Beyond Traditional OCR

Many people still confuse data extraction with old-school OCR, which merely converted an image into plain text. That is no longer enough.

Today, we leverage Intelligent Document Processing (IDP) powered by Machine Learning.

• Semantic Understanding: Robots don’t look for fixed coordinates (e.g., “the total is in cell B5”). They understand the concept of a “Total.” They can find the total amount on an invoice regardless of layout, position, or rotation—just like a human would.
• Human-in-the-Loop (HITL): The technology operates with confidence thresholds. If the robot is 95% confident that it extracted the correct value, it processes it automatically. If confidence is low (e.g., a coffee-stained invoice), the robot routes only that case to a human for validation—and then learns from the correction for future runs.
• Use Cases: Large-scale processing of invoices, insurance policies, delivery notes, legal forms, and more.

2. The Universal Bridge: Integration Without APIs (Legacy Systems)

One of the biggest challenges for data engineers is extracting information from “data silos”: legacy systems, green-screen mainframes, or proprietary desktop applications that offer no APIs or modern connectors.

Traditionally, integrating these systems required costly and intrusive development projects. RPA provides a non-invasive alternative:

• UI Interaction: The robot navigates the graphical interface of the legacy system just like a human user—clicking, typing, opening menus, and copying information.
• Advanced Screen Scraping: We can extract complex data tables directly from Citrix, SAP, or other desktop environments and structure them into a SQL database or cloud Data Lake in seconds.
• Benefit: Full interoperability—without rewriting a single line of code in legacy applications.

3. Massive Data Loads and “Zero-Error” Migrations

Whether due to a merger, an ERP transition (e.g., migration to SAP S/4HANA), or seasonal workloads, organizations often need to move millions of records. Doing it manually is impossible; doing it with traditional scripts is risky when data is messy.

We build scalable Digital Workforces for these scenarios:

• Elastic Scalability: We can deploy 10, 50, or 100 robots working in parallel to process large data loads in a fraction of the time.
• Business-Aware Exception Handling: Unlike simple scripts that crash when they encounter an error, our robots follow business rules. If a record has an issue, the robot classifies it, logs it in an audit report, and continues processing the rest.
• Full Auditability: At the end of the process, the system delivers a detailed log of every successful and failed transaction, ensuring data governance and traceability.

The Sisua Digital Approach

We don’t sell “bots.” At Sisua Digital, we design the operational architecture that enables your organization to scale. We understand that data is your company’s most valuable asset, and our processes are built to treat it with the security, privacy, and precision it deserves.

Ready to stop cleaning data and start using it? Contact us at info@sisuadigital.com, and let’s explore how to automate the vital flow of your information.