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How FlowWright Workflow Automation secures your data

Every day we hear about how data has been compromised. This is the world we live in and it creates an increasing need for securing business and personal data. FlowWright's workflow product minimizes security concerns by requiring access only to data that it needs to make decisions - and this is done easily by pointing to data via a key.  FlowWright is fundamentally focused on data security.  FlowWright is based on client-server web technologies but uses many ways to ensure user information is secure. 

Distributed workflow processing using FlowWright

FlowWright supports many infrastructure configurations with out of the box and a little bit of configuration.  The simplest form being an application server and a database server; including running all in one machine.  FlowWright users benefit from the platform supporting Virtual machines within VMWare, Microsoft Azure, Amazon or any other VM or cloud platform. 

Are self optimizing workflows possible?

FlowWright engines are architected as worker processes or robotic workers that perform work for workflow processes.  Whether the engine is processing workflows, forms, ESB events, they are all processed by robotic workers.  Robotic workers are designed for performance, but they are also able to return all resources used by the worker such as CPU, RAM any other resources back to the Operating System (OS).

How dynamic sub-workflow can help you with dynamic processes

Most processes today are static, no matter how many workflow instances that you kick off, they all have a similar structure. We also know the data fed into these workflows might be different, and therefore decisions made within the workflow instances might be different.

Why data should be in your systems not in workflow processes

Process automation does not exist without integration and use of data.  Any process whether it is manual or automated involves 2 paths. We discuss these 2 path options below: