AI for IT
Automate all of IT issues faster with AI that understands the languages of IT.
Hello, We are curious to innovate RPA with AI to offer you unique solution!
RPA To Automate Both IT And Business
AI-Driven Enterprises wide Automation Beyond RPA
RPA To Automate Both IT And Business
AI-Driven Enterprises wide Automation Beyond RPA
AI for Business
Automate across enterprises with RPA, iPaaS, Data Integration, Industry Ready Bots.
Industry Recognized
Only automation tools recognized in both Gartner Market Guides for ITPA and RPA.
Top Rated
Rated among top 5 RPA vendors in Gartner Peer Insight ratings by customers
Frequently asked questions
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To put it simply, Robotic Process Automation (RPA) is the technology that allows organizations to use software robots to perform specific tasks in an automated way.
Using a combination of user interface interaction, descriptor technologies, and cognitive processes, The RPA BOTs can be used to mimic or emulate selected tasks within an overall business or IT process. These may include manipulating data, passing data to and from different applications, triggering responses, or executing transactions. The bots can work through one or more software applications.
When talking about intelligent automation the conversation goes beyond RPA and AI.
To intelligently automate means to take robotic process automation and enhance it with AI, machine learning, and other technologies that allow for a more custom and intelligent design of the process automation that can be implemented across organizations.
To intelligently automate means to take robotic process automation and enhance it with AI, machine learning, and other technologies that allow for a more custom and intelligent design of the process automation that can be implemented across organizations.
Yes, RPA is fully agnostic and can be used to automate and integrate data in any application (on-prem or cloud-based) and in any interface or server including Citrix.
Menial and repetitive business tasks take up a significant amount of an employee’s time. Upon automation of these processes, much of this time is freed to focus on higher value tasks that involve complex decision making, such as developing customer relationships. But what exactly about RPA allows this to happen? The most significant payoffs provided by automation include:
Reduced costs. According to the Institute for Robotic Process Automation (IRPA), RPA can reduce costs by 25-50% since robots typically cost about one-third of an offshore full-time employee and one-fifth of an onshore full-time employee.
Consistent quality. Because RPA software robots act in a consistent manner, tasks that are automated will have an increased accuracy, allowing for substantial risk mitigation. Robots will be able to streamline tasks flawlessly and execute it in the same way every time.
Increased efficiency.RPA software robots are able to work around the clock, 24/7/365. There is no need for them to take breaks during the weekend or on holidays. Coupled with increased speed and decreased cycle time, this can provide optimized back office performance in a very short amount of time.
Reduced costs. According to the Institute for Robotic Process Automation (IRPA), RPA can reduce costs by 25-50% since robots typically cost about one-third of an offshore full-time employee and one-fifth of an onshore full-time employee.
Consistent quality. Because RPA software robots act in a consistent manner, tasks that are automated will have an increased accuracy, allowing for substantial risk mitigation. Robots will be able to streamline tasks flawlessly and execute it in the same way every time.
Increased efficiency.RPA software robots are able to work around the clock, 24/7/365. There is no need for them to take breaks during the weekend or on holidays. Coupled with increased speed and decreased cycle time, this can provide optimized back office performance in a very short amount of time.
There are multiple challenges that can appear when implementing RPA in your organization, here are three of the major and most common ones:
Employee resistance and onboarding: Any technology implementation comes with changes that can result in stress for employees. In the case of RPA there’s also the belief that bringing in automation, equals to layoffs, creating some adoption resistance.
Selecting the right processes: It is vital to determine which processes are suitable for RPA so that automation runs successfuly. This requires an in-depth analysis and shouldn’t be rushed to deploy, as this might lead to failure to meet the expectations.
Setting realistic RPA expectations: Companies need to recognize the limits of what RPA can do and understand that RPA will not fix broken processes.
Employee resistance and onboarding: Any technology implementation comes with changes that can result in stress for employees. In the case of RPA there’s also the belief that bringing in automation, equals to layoffs, creating some adoption resistance.
Selecting the right processes: It is vital to determine which processes are suitable for RPA so that automation runs successfuly. This requires an in-depth analysis and shouldn’t be rushed to deploy, as this might lead to failure to meet the expectations.
Setting realistic RPA expectations: Companies need to recognize the limits of what RPA can do and understand that RPA will not fix broken processes.
Today, robotic software is rule-based and exceptions require human intervention for resolution. But are RPA software robots capable of completing cognitive tasks? What would the collaboration between RPA and more intelligent solutions, such as artificial intelligence, entail? With the contribution of cognitive algorithms and machine learning, RPA will be able to adapt to more complex situations, independently correcting errors and applying judgment. While transactional processes are the current focus of automation technology, the convergence of RPA with AI has arrived.
According to Gartner’s list of Top 10 Strategic Technology Trends for 2020 the evolution of RPA into hyperautomation will be the #1 trend. Expanding the automation from Robotic Process Automation (RPA) to a combination of cogntivie technologies (AI, ML, NLP, OCR, AI Vision) that enable the end-to-end automation lifecycle. You can read more about RPA and Hyperautomation in our blog.
The abilities of both RPA and cognitive products will be combined into a single solution that will allow tasks to be automated in an adaptive and responsive way to maximize business outcomes. The software robots will be able to analyze elaborate activities just like a human employee in order to deliver superior performance and a more valuable customer experience
According to Gartner’s list of Top 10 Strategic Technology Trends for 2020 the evolution of RPA into hyperautomation will be the #1 trend. Expanding the automation from Robotic Process Automation (RPA) to a combination of cogntivie technologies (AI, ML, NLP, OCR, AI Vision) that enable the end-to-end automation lifecycle. You can read more about RPA and Hyperautomation in our blog.
The abilities of both RPA and cognitive products will be combined into a single solution that will allow tasks to be automated in an adaptive and responsive way to maximize business outcomes. The software robots will be able to analyze elaborate activities just like a human employee in order to deliver superior performance and a more valuable customer experience
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