Kiandra Insights
What is robotic process automation (RPA)
Robotic process automation (RPA) uses technologies to replicate repeatable activities usually performed by humans. It refers to software that can be easily programmed to do basic, repetitive tasks across applications.
RPA tools can mimic back-office, high volume tasks. Some common examples of this would be data entry, data extraction, and invoice processing.
What is RPA?
RPA is often mixed in the classification of artificial intelligence (AI) however it's at the lower end of the 'intelligence' scale. RPA does tasks in a repeatable rules based environment – think: if this, then that.
For example, if a particular email address gets an email with a PDF attached, then the PDF is automatically attached to the client account (based on email address) in the CRM and an email is sent to the account owner. That’s RPA.
To be AI, there needs to be some thinking or learning by the tool to make decisions.
For example, if a particular email address gets an email with either text or a PDF, then scans the document for specific attributes, then populates the correct client account with the updated data, then identifies where the client is in a cycle and then triggers the next action (such as issuing an invoice if all those conditions are met). This example is known as Intelligent Automation (IA).
IA is a combination of RPA and AI – it takes the ‘doing’ from RPA and combines it with ‘learning’ from machine learning and ‘thinking’ from AI to allow the expansion of automation capabilities and opportunities. And it is transforming industries such as finance.
In any case, RPA can save you time, money, reduce errors, improve customer response times and make your people happier by removing repetitive processes.
Need help adopting RPA for your organisation? Contact us today to make your working life easier.
.svg){kind=icon}
More insights
Common challenges in the travel industry and how AI can solve them
Travel businesses need systems that do the work with faster quotes, smarter pricing, and better traveller experiences. We’ve mapped the common travel challenges in the industry, and exactly how AI can solve them.
Delivering AI projects with purpose: real lessons from the trenches
AI isn’t some futuristic toy we’re tinkering with on the side. It’s already woven into the way we get work done at Kiandra. Whether it's helping sift through mountains of invoices or modernising stubborn legacy code, we’re using AI to tackle the headaches that come with real-world software delivery.
Rethinking logistics with AI: real challenges with real solutions
In transport and logistics, most operators don’t need to be sold on the benefits of AI, they just need a clear path to making it work. This blog post outlines the most common challenges we see across logistics businesses, and how AI, when implemented correctly, can solve them and improve performance.
Let’s discuss your next project
Whether you’re curious about custom software or have a specific problem to solve – we’re here to answer your questions. Fill in the following form, and we’ll be in touch soon.
.svg)
