MentisCell – RPA (Robotic Process Automation)
Summary
RPA (Robotic Process Automation) is a technology that uses software robots (bots) to automate repetitive, rule-based tasks traditionally performed by humans. It improves efficiency, reduces errors, and frees employees to focus on higher-value activities.
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Content
Robotic Process Automation (RPA) enables organizations to configure software bots that mimic human interactions with digital systems.
Bots can log into applications, enter data, perform calculations, and communicate with other systems without altering existing infrastructure.
Main functions
- Automation of repetitive tasks: data entry, reconciliation, reporting, and transaction processing.
- Integration: connect legacy systems without APIs by simulating user actions.
- Scalability: deploy bots across multiple processes and departments.
- Accuracy: reduce human error by following predefined rules.
- Cost efficiency: lower operational costs by automating high-volume tasks.
- Compliance: ensure processes are executed consistently and auditable.
Use cases
- Automating invoice processing in finance departments.
- Reconciling transactions in banking and insurance.
- Extracting data from emails and documents.
- Onboarding employees with automated workflows.
- Customer service support through back-office automation.
Essence
- Software robots that replicate human actions in digital systems.
- Focused on repetitive, rule-based processes.
- Enhances efficiency, accuracy, and compliance.
- Strategic enabler for digital transformation and workforce optimization.
Interconnections
- ITSM — RPA supports service management by automating routine requests.
- ITOM — RPA complements IT operations by automating monitoring and remediation tasks.
- KPI — RPA performance can be measured with KPIs such as throughput and error reduction.
- OKR — RPA initiatives can be tracked as key results in digital transformation goals.
Tags
#rpa #automation #digital-transformation #efficiency #compliance #process-optimization
Contributors
Created with the support of Microsoft Copilot on 2025-11-10.
Validation and editorial direction by Jorge Godoy.