How hyperautomation aims to augment our workforce for the better ft. Lila Benhammou and Francis Carden
Play • 25 min

As we continue to reimagine work, hyperautomation – or augmenting our ability to work smarter, not harder – will undoubtedly play a big role. Just ask Lila Benhammou, CEO of Humans 4 Help, who’s used hyperautomation to streamline human-focused operations. Or Francis Carden, VP of Digital Automation and Robotics at Pega. Listen as both experts talk about the value of automating intelligently, and the role that RPA, overcoming legacy systems, and learning from digital natives will have as we continue to evolve how we do our jobs. 


Key Takeaways:

[1:22] What problems can automation help? Lila weighs in on how she and her team at Humans4Help worked with schools across France to make cafeteria enrollment easier. Francis used automation to clean up the tedious process of managing many emails in a company newsletter.

[3:38] Automation is about augmenting human workers, not replacing them. It can help us remove some of the boring and repetitive tasks from our jobs. Hyper-automation means automating more intelligently, which is a big distinction from regular automation.

[4:22] What exactly is intelligent automation? Francis feels that it is the next round of computerization and the digital revolution the way software needs to work.

[6:25] There must be a process for choosing what gets automated, and what doesn’t.

[9:55] Venmo is a perfect example of a digital native company that is highly automated without the strangulation of legacy debt.

[12:23] Companies must face not only the time that it takes for workers to learn new skills, but also welcome a shift of perspective and take a step further than slight alterations or just learning a new skill. Lila explains what this actually looks like in practice. Instead of doing the work itself, we need to supervise the bots doing it.

[17:23] Where can a lover of the mundane hide from a hyper automated workplace? Lila explains that we can learn from Kodak’s lack of innovation to see how important it is to get in the game of the new way of working. Lila warns us that within 5 years, all companies must innovate, or they are going to die.

[19:40] Part of this transformation is going to be learning how to manage the data. The winners will optimize the hyper-automation process while positioning the people and technology at the same level.

[20:20] Francis explains how the hyper-automation transformation has barely begun. It is important for the leaders now to mentor the next generations to come.

[22:40] Are we prepared for the potential changes hyper-automation may bring to the way we experience experiences? Lila explains why we might not be prepared yet, but if we keep our focus on the future, that day just may be here sooner than we expect.



[3:43] “That doesn’t mean we’re going to steal the work from humans. That means that we’re going to augment that ability to work better instead of work more.” - Lila

[4:50] “It's the difference between only automating the processes as we do them today, and reimagining processes as they could be done — if we embrace the technologies available to us.” - James

[10:45] “I've seen organizations go from being a truly big, monolithic analog company into a digital company in very short order. And that is accelerating. And if you don't do that, your competitors are, and you will just lose out.” - Francis

[18:47] “So that new way of working has definitely set up a new game in a way that you have to live with the digital transformation.” - Lila

[21:40] “We need people coming out of the education system, believing in this art of the possible, just understanding that it is possible. And then their careers will take off.” - Francis


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