CATALYST Issue 1 | Page 10

Digital Innovation F ar from sitting in an ivory tower, surrounded by cyborgs and contemplating the future of an automated w o r k pl a ce, A n d re w Wayland, Alexander Mann Solutions’ director of technology and business intelligence, is responsible for all the underlying tech that supports the company – from phones to instant messaging and conferencing. He then puts on his ‘business intelligence hat’ to deliver reporting and talent analytics to clients. Only when these elements are fulfilled can he indulge in helping to facilitate the rise of robots: “If those bits aren’t working, I have no credibility on the other stuff,” he admits. In this Q&A, he contemplates the tech that is transforming the workplace and is simultaneously celebrated for its ability to remove the tedium of simple, repetitive tasks from our daily ‘to do’ list, and feared for its potential to render humans obsolete. Could you begin by defining artificial intelligence (AI) and robotics? People bundle them together but they are two distinct things. AI is a tool we use with large volumes of data to look for patterns – for example, in CVs – and link outcomes to situations. Robots are macro-driven. You write a piece of code, a flow chart or process diagram, and the robot follows it blindly. It allows you to automate human processes. The robot can control applications like a person can: it can send an email, put an entry in a diary, log into a system, enter data. It works at about 15 times the speed of a person because it operates 24/7, takes no breaks and doesn’t need to pause between tasks. But it has limitations: people assume the robot’s going to learn or that it works with some kind of neural network, which isn’t the case. It only sees what’s on screen, and the data it has to work with; it can’t work within the context around it. Typically, the robot will bridge two different systems, alexandermannsolutions.com 10 where you’re entering data into one and then the same data into another, or for really repetitive tasks. Why is it relevant to talent acquisition? Ultimately, this tech allows us to create a compelling candidate experience, because speed of delivery, accuracy and execution are key. There’s also an efficiency piece, but the end user experience is much better. For recruiting teams, it will mean they get to do more of what they are good at; their USP will be more pronounced. In recruitment, you deal with lots of “This tech allows us to create a compelling candidate experience” different types of document and you’re following processes. Plenty of people within the talent acquisition space are looking at where they can outsource; how to deliver efficiencies. Many have moved towards an outsourcing model and that includes offshoring, but there’s an opportunity for those who haven’t to move to an automated solution instead. That is even more efficient and raises the quality of the experience further still. Are bots beneficial to candidates? There’s value in dealing with a robot: you get an immediate response and useful information, not just a fobbing off. The bot acts instantaneously. We have to create compelling interactions so that it feels better to do that than to make a phone call to a human in order to get service. It’s a bit like when you use a really well-designed mobile phone; we’ve got to emulate consumer experience. I think you should disclose that it’s a bot, though, people can tell.