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‘There's nothing better than being able to simplify’: Workday SVP tells us why effective AI usage can be a “superpower” for your business | TechRadar

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‘There's nothing better than being able to simplify’: Workday SVP tells us why effective AI usage can be a “superpower” for your business | Tech Radar

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‘There's nothing better than being able to simplify’: Workday SVP tells us why effective AI usage can be a “superpower” for your business

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As AI revolutionizes large parts of business processes, businesses of all sizes are looking for the best way to use it effectively and efficiently.

While AI may promise the world, making sure your company has an AI strategy which works effectively will go a long way to maximizing the chances of success.

Workday has long been at the forefront of AI tools and services for organizations everywhere, and I spoke to Max Wessel, SVP Product at Workday, to find out more.

In such a crowded and competitive marketplace, I ask Wessel what he thinks makes Workday stand out from the competition.

“If you think about what AI should deliver for a user, it should be a system that anticipates, advises, and reacts on behalf of intention,” he says - but that intention is "completely dependent on context”.

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He notes that Workday has 20 years of context, covering more than 1.4 trillion transactions - all on a single data model and a single business process framework, so the company is, “uniquely suited to make sense of how business decisions happen, and advise and act on behalf of its users towards the ends that they want to achieve.”

The rise of AI agents and other systems has led to much talk of a possible ‘Saa Spocalypse’ - a revolution in how software survives as an industry, and I ask Wessel how Workday can evolve to work with this.

He highlights the idea of the “jagged frontier”, noting that if you think about the kinds of work AI is suited to, it needs to deliver with predictability but also precision in terms of outcome and reliability.

Trust and reliability have become vital for all users of AI services, and Wessel points out the problem of the “lawful vs lawless agents”, noting that while it is important to ground AI in context, so you can evaluate whether its answer is correct, it’s also crucial to restrict the transactions, so AI can run to what is governed.

Fortunately, he says that the problem of creating lawful agents is "seminal to what do we do", as Workday has a concept of inherited permissions, so that when you ask an agent to take action on your behalf, that agent can only do what you are able to do in the system - ensuring its work remains “lawful”.

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Overall, Wessel says Workday is uniquely positioned to perform, as what it delivers requires trust, reliability and enterprise context, and it has a robust and stable platform from which to grow, creating what he says is, “an incredible opportunity to use AI to enter the automation of ancillary services that we never considered entering.”

But with increased AI usage comes concern over job replacement, particularly in areas such as HR and business development where Workday is firmly entrenched.

Wessel notes that the aim is to have agents work alongside human workers to remove time-consuming or tedious tasks - highlighting the example of the Workday talent acquisition agent taking over the tasks of scheduling interviews for a recruitment team - not high-value or desired work, which can take huge amount of time, but somewhere Workday believes it can “create meaningful savings, and meaningful opportunity” for humans to focus on the important work.

"Work hasn't been reinvented in a way that as we get more efficient, we find less of it,” he says, noting that we are still very much in the early stages of realizing the workforce transformation that needs to happen.

This includes younger workers, or those just entering the workforce, who often face challenges securing roles at companies looking to use AI to scale down their teams.

Wessel says that Workday often wants to find AI-native people entering the workforce, as they have a different way of thinking about problems, and advises all businesses to be more diverse in their hiring so as to acquire workers with different skills and knowledge - including AI natives.

“The way you're thinking about these tools if you're just coming out of university now is completely different than if you graduated 15 years ago, and every organization can use that as a superpower in driving change,” he says.

“In almost every technological revolution, there is job creation at the same time there is job destruction - and I don't think this will play out any differently,” Wessel adds, “over time, there's going to be jobs that do get automated completely and go away, and there's going to be a need for more capacity in other areas.”

Ultimately, the company looks to help encourage the use of AI services and agents at work, with building an AI-native user experience that is easy to navigate and learn a vital part of that.

“We have a big responsibility to help our customers transform the workforces inside and outside of workday,” Wessel notes, highlighting Workday’s recent acquisition of Sana as a good example of this.

“The speed of change is so fast right now, that we need to offer technology that can create learning content at the same speed of the change that is occurring.”

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Mike Moore is Deputy Editor at Tech Radar Pro. He has worked as a B2B and B2C tech journalist for over a decade, including at one of the UK's leading national newspapers and fellow Future title ITPro Portal. When he's not keeping track of all the latest enterprise and workplace trends, he can most likely be found watching, following or taking part in some kind of sport.

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