RPA Knowledge Hub

Robotic Process Automation is a technology that helps automate repetitive processes mimicking human actions with high speed and accuracy.

What is RPA?

Robotic Process Automation (RPA) is a technology that allows businesses to automate repetitive, rule-based processes without changing existing IT systems.

RPA bots mimic human actions to perform tasks such as invoice processing, data entry, email management, and report generation with high speed and accuracy.

Example: A bank can use RPA to automatically process loan applications, validate documents, and update customer records, significantly reducing manual effort and errors. By handling routine tasks, RPA frees employees to focus on strategic, value-added work.

Benefits of Automation

Increases operational efficiency by reducing time spent on repetitive tasks.
Minimizes errors and ensures higher data accuracy.
Generates cost savings and improves ROI by optimizing resources.
Enables continuous 24/7 workflow, enhancing productivity.
Frees employees from mundane tasks, allowing focus on strategic initiatives.

Example: An insurance company automates claims processing, allowing adjusters to focus on complex cases.

RPA vs AI Explained

RPA executes structured, rule-based tasks exactly as programmed.
AI analyzes unstructured data, learns patterns, and makes informed decisions.
Intelligent Automation combines RPA + AI to handle complex processes, adaptive workflows, and predictive outcomes.

Example: An e-commerce company uses RPA to automate order entry and AI to detect fraud or predict customer demand.

Maturity Model of Automation

Stage 1

Basic Automation

Automating individual tasks

Stage 2

Process Automation

Automation of complete business workflows

Stage 3

Integrated Automation

Connecting multiple automated processes with real-time data flow.

Stage 4

Intelligent Automation

AI-driven automation providing predictive insights and adaptive operations

Security & Compliance in Automation

Compliance with GDPR and industry security standards.
Role-based access ensures only authorized personnel can create or run bots.
Monitoring, logging, and auditing safeguard data integrity.
Risk management strategies identify and mitigate potential automation threats.

Example: A healthcare provider ensures RPA bots handle patient data securely and comply with regulations.

Frequently Asked Questions

Which tasks are best suited for RPA automation?

Do I need programming skills to implement RPA?

What are the main differences between RPA and AI?

How is ROI calculated for automation projects?

How is data security ensured in automated processes?

Let’s talk

Curious to see how Inbotia can help grow your business exponentially?

Talk to an expert

or call us at: +30 210 300 5440