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IAM and RPA (Robotic process automation)

RPA?


Robotic Process Automation (RPA) is one of the hot IT topics these days. By using robots that automatically perform tasks that humans executed before, companies unlock a significant potential for cost savings. AI (Artificial Intelligence) helps in realizing RPA solutions. However, if done wrong, the use of RPA can cause severe security challenges.


Robotics process automation essentially means to replicate the actions that a human would have performed in a repetitive business process workflow. It differs from old record playing mechanism, software robots leverage modern day technologies (Machine learning, NLP or Natural language Processing, CV or Computer vision) which provides robust logic driven resilient and intelligent process for enterprise use.

Robotic process automation has the power to revolutionize your identity and access management, cutting costs and saving time. But it won’t replace humans with machines. Instead, it will take the robot out of the human, freeing your talent from repetitive drudgery to focus on more rewarding projects.



-- Reallocate Human time to higher priority tasks

-- Reduce Cost

-- Increase speed


RPA can be used to automating account management of legacy systems

-- Legacy on premises systems

-- Older Saas solutions

-- Browser based applications

-- Chat bot for requests


Understanding the Benefits of RPA and Digital Identity


RPA introduces a virtualized workforce that will take over tedious manual tasks, handling them tirelessly, correctly and with great efficiency. That’s not to say it’s a magic bullet, though: it requires structured data to function properly. But if you can meet that prerequisite, it will allow your human users to channel their time, energy and motivation into more creative tasks and challenges.


Taking a Complementary Approach to RPA and AI


Robotic process automation and artificial intelligence (AI) may seem similar on the surface, but they are not the same and should not be confused with each other. Nor, for that matter, should they be seen as mutually exclusive. The key is to understand the strengths and weaknesses of each technology and then leverage them accordingly.


RPA: Probably DUMB BOT but knows what it does


RPA is not smart. It cannot learn in and of itself. Instead, it fastidiously follows the instructions it has been given, never deviating from the rules that govern specific tasks. It requires structured data to function and is best suited for rule-based processes where compliance and accuracy are essential. RPA delivers quality and consistency, but it cannot think outside the box.


AI: Driven by Intelligence

AI is intelligent by nature. It learns from the results of past decisions and improves over time. Like RPA, it can be rule-based, but this does not necessarily need to be the case. And unlike RPA, AI can be given the freedom to make its own decisions. This makes it well-suited for handling and refining unstructured data and managing complex tasks in dynamic environments.


AI, RPA, and Human:

AI is often more expensive to implement than RPA. This makes it a poor fit for use cases where machine learning isn’t essential to success. That said, combining AI with RPA in specific scenarios can vastly improve the outcome of business process automation. Account data, for example, is often unstructured. Using artificial intelligence to structure that data before moving it into your RPA environment is an excellent way to maximize efficiency without overstretching either technology.


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