AUTOMATION & RPA

Middleware

Automation & RPA

Definition

Middleware is software that acts as a 'glue' between different systems, translating formats, managing message queues, and coordinating communications. In companies with legacy systems (old ERPs, custom management software), middleware allows integrating these systems with modern tools and AI without having to replace them.

Related terms

Automation & RPA

Integration

Integration is the process of making different software systems communicate and work together. For example, connecting the CRM with the ERP, e-commerce with the warehouse, the invoicing system with the bank. Integrations eliminate double data entry, reduce errors, and allow data to flow automatically between company departments.

Automation & RPA

API (Application Programming Interface)

An API is an interface that allows two software systems to communicate with each other. For example, the Claude API allows integrating AI directly into the business management system. APIs are the connective tissue of modern automation: they link CRM, ERP, email, e-commerce, and any other system without having to rewrite the software.

Automation & RPA

Microservices

Microservices architecture breaks down an application into independent services, each responsible for a specific function. Each service can be developed, deployed, and scaled independently. For SMEs, microservices allow adding AI capabilities (chatbot, OCR, analytics) to the existing system without touching the main management software.

EXPLORE

More terms in Automation & RPA

RPA (Robotic Process Automation)

RPA is the technology that uses 'software robots' to automate repetitive tasks normally performed by people: copying data between systems, filling out forms, generating reports. It does not require changes to existing systems because it interacts with interfaces as a user would. For SMEs, it is the fastest way to automate processes without changing the management software.

Workflow Automation

Workflow automation is the design and automatic execution of sequences of business activities. For example: when an order arrives, the system checks customer credit, verifies availability, generates the order confirmation, and notifies the warehouse. Tools like n8n, Zapier, and Make allow building complex workflows without writing code.

Process Mining

Process mining is the technique that analyzes information system logs to reconstruct and visualize business processes as they actually occur, not as they should occur. It reveals bottlenecks, deviations, and hidden inefficiencies. It is the ideal starting point before automating: it shows where automation would bring the greatest benefit.

Task Mining

Task mining observes how users interact with the computer (clicks, typing, navigating between applications) to identify repetitive tasks that can be automated. Unlike process mining which analyzes system logs, task mining captures employees' daily work. It reveals automations that no manager would see by analyzing only official processes.

Intelligent Automation

Intelligent automation combines RPA with AI to automate not just repetitive tasks but also those requiring comprehension and decision-making. A 'classic' RPA bot copies data; an intelligent automation reads an invoice, understands its content, decides how to classify it, and registers it in the management system. It is the natural evolution of RPA for mature companies.

Hyperautomation

Hyperautomation is the strategy of automating as many business processes as possible by combining AI, RPA, process mining, and low-code tools. It is not about automating a single task but rethinking entire end-to-end workflows. Gartner identifies it as a mega technology trend. For SMEs, it is a medium-term goal after the first pilot automations.

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