This morning I had the pleasure of speaking with one of the true pioneers of “Robotic Process Automation”. Obviously it wasn’t called RPA back in the days when Francis Carden (VP, Digital Automation and Robotics at Pegasystems and Founder of Openspan) together with a handful of Microsoft and Accenture engineers stretched the boundaries of traditional screen scraping, OCR and macro recording technologies.

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Artificial Intelligence is the holy grail of technology. But the dawn of AI has already broken: we see it in algorithms that predict what you want to buy, decide what news you see… even judge whether or not you should go to prison. But should we trust these algorithms to make our choices for us? Do we have the right to a human-made decision?

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Like with many disruptive technologies, also with RPA it’s the startups and corporates that pioneer the space and help to mature the technology through a fail-and-learn approach. In contrast, the public sector appears to take, for various reasons, a more conservative approach when it comes to innovation. However, several precursors seem to suggest that the public sector is now ready for RPA prime-time.

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In the last couple of months, I was fortunate enough to speak to a couple of leaders in the field of Robotic Process Automation. These conversations and the feedback I received on my earlier article about the RPA Maturity Journey triggered me to think deeper about the state of RPA in Australia.

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Like an exploration journey, a transformation is not a continuous and consistent process. The great explorers of the world went through periods of progression and they had times when they paused, consolidated and regrouped before the moved on to the next transition.

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Following my talk at the RPA Summit in Sydney I received many requests to share more widely my insights from building and scaling RPA capabilities in large organisations. Here are the first two insights. Keep watching this space as I will be publishing more insights on this topic over the next couple of weeks.

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The engine at the core of the next-generation operating model!

Full intelligent process automation comprises five key technologies. Here’s how to use them to enhance productivity and efficiency, reduce operational risks, and improve customer experiences.

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