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Workplace Productivity 

 Robotic Process Automation

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Robotic Process Automation (RPA) is a term that has gained traction in describing the use of software tools to partially or fully automate human activities that are manual, rules-based and repetitive. 

In our view, RPA is simply ‘computing’ with a new name.  Some would argue that the integration of Artificial Intelligence (AI) makes RPA unique, except what we are calling AI today, we were referring to data mining in the 1990s. Perhaps advances in technology justify a new term.  Regardless, the market has grabbed it, and so, we are compelled to define it.  It’s nothing new. We refer to them as microservices, which is a more accurate description of what is actually just small application development project.

What is compelling, and why this service is a hot topic, is that programming code has become so encapsulated that is it prudent for every organization to look at where technology can create a return on investment.  There are many such opportunities. 

In some cases, an RPA project may involve the development of a custom piece of software, in others, it may involve tying together two existing systems. What is key is that we can cost-efficiently garner functionality from a system without having to replatform the entire IT infrastructure.  That is valuable.

Kynektyd employs an Agile development process to increase the rate at which it can deploy RPA technology in an organization. Key to the Agile methodology, and why it is so successful, is continuous involvement and feedback from the end user.

We want to show you progress as often as possible, so that we can redirect as quickly as possible. That said, the methodology also prescribes a disciplined approach that keeps expectations clear and limits scope creep.

The process begins with a discovery phase, followed by a series of sprints.  At the beginning of each sprint we work with your team to define a Minimal Viable Product (MVP), which may or may not be ready for production at the conclusion of the sprint. After the Sprint Planning phase is completed, our developed start to develop and test code.  The sprint concludes with a demo for the end user, and then the application is either put into production, or planning for the next sprint begins.

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