Simply put, Low-Code Automation is a visual development of automation use-cases. Traditional methods of designing automation use-cases involve heavy scripting. Low code automation simplifies the entire process by providing an easy and intuitive drag-and-drop interface.

Why Look for a Low-Code Automation

So the question arises, Why not leave the technical configuration to the experts?
This would have been the traditional approach, but now low-code tools allow non-technical operators to build custom workflows by providing pre-designed templates and a user-friendly drag-and-drop interface without getting involved in multiple tasks.

Thus empowering Network Architects- YOU Design it, YOU Use it!

WHY LOW CODE AUTOMATION FOR BUSINESS

• Quick Time-to-Market- Intuitive features such as drag-and-drop interfaces help us in developing processes faster
• Seamless Integration across multiple vendors
• Ability to Self-serve, which gives end-users control to handle IT requests without the need for the service administrator’s involvement
• Simplified Scalability to accommodate your demands as your business grows
• Value for money by not just in downsizing workforce requirement but also in the rapid setup and deployment of applications

LOW CODE AUTOMATION THROUGH ATOM

ATOM allows the possibility of designing simple and complex automation processes with graphically sharp ease. It streamlines processes, improves ‘time to value,’ and jumps in as ready documentation support for your network.

It leverages BPMN 2.0 for low code automation and simplifies the design of self-service workflows with a GUI. Create simple and complex workflows easily with a drag and drop interface.

DMN-Decision Model and Notation

ATOM uses Decision Model and Notation to optimize workflow to ensure consistent, repeatable decision making and modeling. DMN is a standard approach for describing and modeling repeatable decisions. It has been designed to work with BPMN by moving process logic into decision services.

When there are multiple conditional inputs to be provided to the workflow, the task of providing different inputs each time based on the conditional matching can be exhausting. To eliminate this recurring process, we can create a table through DMN with the required variables based on the conditional inputs.

This is how it works:
STEP 1: When a user provides input values in workflow execution, the respective output data will be generated based on the output parameters given

STEP 2: We can create a DMN block inside the workflow and reference the DMN name to fetch the respective output variables based on the input provided.

(User task with one input variable)

STEP 3: Next, we need to read and store the DMN table data into a variable that can be accessed later without repeating the process again