RPA Automation Anywhere-Artificial Intelligence
Identify. Explore. Automate

Boost your business with the power of automation

  • Manual work is eliminated
  • Business metrics could be focused easily
  • A non-invasive approach to system integration
  • This bridges the gap between enterprise systems
Business Challenge

Identify

Our team of experts will gain data about your internal business procedures in depth and will identify all the processes that are currently running in your organization.

business

Explore

We will analyse what all processes can be automated in order to save cost, time and efforts.

Technologies

Automate

Attended or unattended automation will be implemented in the business procedures and then you can relish greater speed, efficiency and accuracy.

RPA Automation Anywhere with Artificial Intelligence

Helps in Becoming More Human at Work

Robotic Process Automation

Robotic Process Automation or RPA is the technology which permits the businesses to configure a computer application or a robot to do tasks which were being done by the humans. It’s like integrating human interactions with digital systems. RPA tools & robots make use of the user interface that can store data and operate the applications just like humans. Why RPA is becoming a favourable option for the business owners is because it makes zero mistakes and costs much less than an employee in the long run.

In the last decade, many industries and companies have come forward and have shown their interest in RPA including government, finance, telecommunications, energy, retail, transportation and even utilities. They know that RPA automation anywhere with Artificial Intelligence can transform the way a business runs and with this in mind people are actually investing in this technology. Although RPA is fine in its own, when it’s combined with AI one can explore new possibilities and massive potential. There are many solutions that won’t exist if RPA and AI are used individually and combining them is a smart way to relish the perks of intelligent office automation. This even stages more inventive tech alliances in the future.

Artificial Intelligence – The Era of More Sophisticated technologies

AI Power RPA

There used to be a time when Artificial Intelligence was mostly theoretical, but now it’sbeing very commonly used in the industries. AI involves machines that are capable of effectively programming themselves and could evolve as per the advance needs of the humans. The most interesting thing about AI is its ability to spot things that human eyes can never trace. Such technology can always do wonders to businesses and the way things are being done in the industries. This implies any complex task can be executed in less time and with lower cost with the help of AI.

Doesn’t matter if it’s about helping the visitors or assisting the staff on making their way around a corporate premise, AI can do all. Even when it’s about completing a task which is very complex like controlling a wind turbine, AI can be a great help. The thing is that AI never works alone and it is always backed up by Machine Learning. It collects the vast amount of data from various sources and then delivers decisions based on the patterns extracted. The next big and the most essential part of AI is cybersecurity; without this, an AI system might fail. It’s true that companies can never have enough cybersecurity experts to keep a continuous check on the AI machine, but that’s why we are here.

How RPA Automation Anywhere with Artificial Intelligence

Can Help Key Industries to Grow?

Robotic Process Automation

By the end of 2015 Robotic Process Automation was sitting on the top of the IT sector and companies were implementing this technology quickly and effectively. But then the market became stagnant and with advanced systems next level RPA was required by the businesses. Then came the idea of combining RPA with AI for a variety of business procedures and it was like the best gift from the technology. Here are a few fields that are making effective use of RPA in amalgamation with AI:

Accounting and Finance : Usually we see accounting processes being done manually or under the supervision of the accountants. But, with development in technology the accounting processes can now be automated. By including RPA in such fields effectiveness of the tasks can be increased.

Human Resource : Although HR is one of those industries which can never be completely automated, as human interaction is crucial, it can definitely avail some benefits of RPA and AI. Tasks like benefit distribution and payment processing can be completely automated without any need of human supervision. Also for HR related forms, office automation

Product Development : Organizations that deal with product development need to launch their products in the market more rapidly. Only RPA in combination with AI can do this while performing the job without any errors. In product development there are various tasks which involve repetition and these can be easily performed by the bots allowing the workers to focus on other crucial tasks.

Customer-facing Activities : Jobs that include interaction with the customers like at call centres, some of the activities can surely be done by machines. For example, customer care executives at a travel agency get a lot of calls about cancelling and booking of tickets, as this is an online job with automation it would get even more effortless.

Sectors Where RPA-AI can be Used

Retail

Retail

There are multiple points of consumer-retail interactions such as mobile, social media, in-stores and e-commerce sites. Aggregate analysis of all such data generates insights that were never highlighted before. And the data driven customer analytics help in tackling challenges like: improving customer conversion rates, avoiding customer churn, personalizing campaign and lowering customer acquisition costs.

Operational Analytics

Operational Analytics and Supply Chain Analysis

Big data analytics help to understand supply chains, product distributions, reduce cost and increase operational efficiencies. It needs unlocking of insights about trends, patters and outliers buried in log, sensors and machine data that eventually results in better business performance, operation performance and improved decisions.

Telecommunications

Telecommunications

“How to deal with increasing volume of data”, “how to perform in a timely manner” and “How to prevent customer churns” are some of the challenges that must be tackled intelligently by the cellular service providers. With immediate insight into customer behavior, providers can take action to keep customers before they switch to a competitor.

 Healthcare

Healthcare

Advanced data technologies bring revolution in healthcare delivery landscape and their physical infrastructure. Big data, machine learning and EHRs helps in patient-healthcare providers collaborations, now they are better equipped to prevent the occurrence of disease. Healthcare providers can analyze privacy-protected streams of medical device data to detect early signs of disease, identify correlations among multiple patients and measure efficacy of treatments.

 Energy and utilities

Energy and utilities

Use of smart sensors and meters along production, transmission and distribution system procure granular data streams about state of faults and load. Powerful analytics on this data, when combined with other sources such as Outage and Distribution Management Systems (OMS/ DMS), weather data, third-party event monitoring systems and Meter Data Management Systems (MDMS) help utilities for taking necessary actions against electric grid failures, improve security and optimize capacity.

Automotive

Automotive

Increment in globalization, regulatory, environmental requirement and consumer demands in context of self driving and connected cars, innovative and sustainable vehicles pressurize the existing business and manufacturing models to get evolved accordingly. Predictive analysis of data in motion helps in rapid decisions and predicts breakdown, subsequently helps to keep customers satisfied.