What real-world impact is AI having on businesses today? How do we measure its success? These are the questions we are exploring at the Experience 2024 event by Genesis in Denver, Colorado. Amid the buzz about AI, I want to dig deeper and uncover tangible examples of its business value.
In this episode, I speak with Louise Phillips, Vice President of Customer Centres at Virgin Atlantic, and Michael Johnson, Operational Change Manager at Virgin Atlantic. They reveal how Virgin Atlantic is leveraging AI to revolutionize customer and employee experiences. They also share remarkable outcomes such as a 25-point improvement in customer satisfaction and a 12-point increase in employee happiness within just a year.
We explore how AI is used to create smarter, more cohesive experiences, including the implementation of predictive routing, voice segmentation bots, and bot flows. Louise and Michael explain how these technologies have transformed Virgin Atlantic's customer journey, particularly for transatlantic routes, and how they've allowed the company to quantify and improve service.
They also discuss future advancements, such as Agent Assist and predictive engagement, that promise to further enhance operations and customer experiences. As the event concludes, they reflect on their partnership with Genesys and the exciting potential of AI.
Join us as we dive into the real-world impact of AI on business, the measurable successes, and the future possibilities. How do you see AI shaping the future of business? Share your thoughts and join the conversation.
[00:00:00] What real world impact is AI having on businesses today? How do we measure its success? These
[00:00:09] are just a few of the questions at the forefront of our minds here at the Experience 2024 event
[00:00:16] by Genesis here in Denver, Colorado, where AI is yes, predictably the topic of every
[00:00:22] conversation. However, I want to dive deeper than the surface level buzz and uncover tangible
[00:00:29] examples of AI business value. In my quest to find answers, I had the pleasure of speaking
[00:00:36] with Louise Phillips, Vice President of Customer Centers at Virgin Atlantic and Michael from
[00:00:41] Virgin Atlantic too, and they shared with me how Virgin Atlantic is leveraging AI to
[00:00:48] revolutionize customer employee experiences. So I convinced them to come away from the
[00:00:52] show floor and share their insights, not only with myself, but with all you lovely
[00:00:57] people listening all over the world. So today we're going to discuss how AI is being used
[00:01:02] to create smarter, more cohesive experiences and the results that they've seen, such as
[00:01:08] a 25 point improvement in customer satisfaction and a phenomenal 12 point increase in employee
[00:01:15] happiness within just a year. But how do they do it? Well, buckle up and hold on tight
[00:01:21] as I beam your ears all the way to Denver, Colorado, where you can sit down with myself,
[00:01:26] Louise and Michael as we explore this and much more. So a massive warm welcome to the
[00:01:34] show. Louise, to begin with, can you tell everyone listening a little about who you
[00:01:38] are and what you do? Yeah. Hi. So my name's Louise Phillips. My job title is Vice President
[00:01:44] of Customer Centers at Virgin Atlantic and Virgin Atlantic Holidays, essentially made
[00:01:49] up of your typical contact center function along with some customer care functions as
[00:01:54] well. So yeah, we're based in the UK across a couple of sites and I've been at Virgin
[00:01:59] Atlantic for 14 years. Fantastic. And Michael, can you tell everyone listening a little about
[00:02:04] you too? Hi. Yes, I'm Michael and I'm one of the operational change managers for Virgin
[00:02:08] Atlantic and I look after projects and continuous improvement and change really, variety change
[00:02:15] landing in the customer center. Over the last two years, I've focused primarily on technology
[00:02:19] with a real focus on Genesis Climate itself. Fantastic. Well, welcome to both of you. And
[00:02:25] just if we start the conversation, talking about AI and the customer experience is a
[00:02:29] big theme here at the event. How has Virgin Atlantic harnessed AI technology to create
[00:02:35] smarter, more cohesive customer experiences? And what impacts has it had on overall customer
[00:02:40] satisfaction? And the reason I ask that is there's a lot of hype around AI at the moment.
[00:02:44] Here, we're seeing so many real world examples and I know it's something you're both passionate
[00:02:48] about. To give you a very high level backstory, Virgin Atlantic have been partnering with Genesis
[00:02:53] now since early 2022 and really 2022 was about our implementation phase really. It was transitioning
[00:03:01] all of our contact channel platforms over to Genesis, whether that be voice, email, web messaging,
[00:03:06] etc., WhatsApp over time. And I guess the AI strategy really started to kick in around probably
[00:03:15] the latter half of 2023. Actually following our visit to experience in 2023 actually, we came back
[00:03:22] on the plane ride home thinking about predictive routing and that's where it all began really. We
[00:03:27] took a very curious but bold approach to say, you know what, let's give this a go. Let's switch this
[00:03:33] on. We didn't waste too much time in worrying about the ifs and the buts. We just kind of went
[00:03:38] with it and it was really, really successful. And I guess that's where our AI journey began.
[00:03:44] We quickly moved into an AI bundle with Genesis in January of this year, which will allow us to
[00:03:50] unlock further AI features, I guess. And so what's on the table for us right now is we've got
[00:03:58] the predictive routing in place. I can give you some examples of how well that's working.
[00:04:04] We're next month moving on to knowledge portal with agent assist, really big game changer for
[00:04:10] our people. And then we're also discussing things, obviously conversational bots, predictive
[00:04:16] engagement to drive obviously revenue. So yeah, we've got a bit of a list of things we want to get
[00:04:21] done, but also being very selective about what are the AI features that will benefit us and our
[00:04:28] customer experience because ultimately that is what we're going after. We want to improve
[00:04:34] our customer experience, not to talk too long about the previous few years of COVID, but
[00:04:39] we did have to work extremely hard to recover our customer center because of the impact that
[00:04:44] it had on the aviation sector. And AI is really allowing us to do that. We know
[00:04:51] that we were receiving five times more calls than we were pre-COVID, handling time was doubled, etc.,
[00:04:58] all because of the impact of the pandemic. And it's the handling time, the excessive handling
[00:05:03] time that was really driving down that customer experience. So what predictive routing is doing,
[00:05:08] quite quickly, we could already see the benefit and we were seeing 15% reductions in handling time.
[00:05:15] Because obviously what we're then doing is placing the right, you know, the call in front of the
[00:05:20] right skilled advisor based on the complexity of the contact versus their proficiency and their
[00:05:26] AHT. And so, you know, that's just one example that we can provide where we're really already
[00:05:31] starting to see those improvements. That figure there, 15%, it's great to be able to have a
[00:05:35] measurable figure that you can see and the difference it's making. Then can you also
[00:05:39] elaborate on how the combination of voice segmentation bots, bot flows and predictive
[00:05:45] routing has transformed Virgin Atlantic's customer journey too, particularly for transatlantic routes
[00:05:51] and for any techies listening wanting to take a look under the hood? The ability to have voice
[00:05:55] segmentation bots and milestone reporting from on our inbound channels has been a real game changer
[00:06:00] for us. So we've got a lot of great people who've been in the business for a long time and anecdotally
[00:06:04] they could tell you why our customers are contacting us, but we've never been able to quantify it.
[00:06:08] This ability for customers to tell us why they're calling, what was the main reason?
[00:06:12] And then for us to quantify that in volumes and percentages of our contact completely changed the
[00:06:17] conversations we could have with a wider business. So instead of there being that separation where
[00:06:22] they were doing their thing, we would do an hour thing and not being able to articulate to them
[00:06:26] what, how the impact of any changes they make. We suddenly, we were able to go with solid numbers
[00:06:30] and that allows us to change that discussion. Then we can knock on doors and say, this change that
[00:06:35] you're implementing or thinking of implementing, this is the impact it has on our customers and on
[00:06:39] the customer centre. So we know a relationship happened kind of the eyes and ears of the company
[00:06:45] as a whole. And if we look at the employee experience and the customer service, are there
[00:06:52] any specific improvements that around employee experience that you've implemented that directly
[00:06:57] translate into better customer service outcomes? Is there any examples or anything you can share
[00:07:02] around that? A big thing for us is personalising the service we give our customers. So even before
[00:07:09] we started at the very early stage of our AI, in terms of conversational AI, we started using
[00:07:14] bots and our inbound flow so we can identify our customers. And that customer, the details about
[00:07:19] that customer was being presented to the agent. So instead of them going, having to find out about
[00:07:23] the customer, they could start off with understanding where I know this customer and this is, they're one
[00:07:27] of our gold members and this is when the next flight is and this, that and the other. So they could
[00:07:32] come through, we could greet that customer by name and then we could have that conversation and we're
[00:07:35] already a little bit down the track with it. Those kind of things making it appear inside the
[00:07:39] Genesys interface that just makes everything a little bit easier for our agents and the agent assist
[00:07:44] and auto summarisation that we're implementing at the moment is still going down that track,
[00:07:48] making everything effortless for the agent and as a result effortless for the customer.
[00:07:52] So how would you say the digitalisation of Virgin Atlantic's customer experience has reshaped the
[00:07:57] way you engage with your passengers, especially those seeking more seamless connection?
[00:08:03] So as a business actually we'd started this process several years ago. We looked at asynchronous
[00:08:08] channels and we had set ourselves targets to move from, I believe we had an 80-20 sort of split where
[00:08:13] voice and then digital channels to try and get us to 60-40 because we knew from our own experience
[00:08:17] that was the channel of choice for many of our customers. So we're already quite, way down that
[00:08:23] path and it's since we implemented Genesys, we made some decisions about which digital channels
[00:08:29] we offer our customers and we're able to refine that and through use of the milestone reporting
[00:08:35] and text and speech analytics, we could understand what contact we handle better on
[00:08:39] digital channels and what we could contain in bot flows and allow customers the ability to
[00:08:43] self-serve and then it gave us that insight to say well this type of query actually customers want
[00:08:47] to interact with us digitally and we can offer them solutions without them having to speak to
[00:08:51] an advisor digitally which we couldn't have on a voice call. So that's progressed and we've built
[00:08:57] on and it's now just standard for us really that about 40% of our business is handled digitally
[00:09:02] and some of our channels we use proactively to take that customer effort. We use WhatsApp to
[00:09:07] communicate, to send out updates to customers without them having to contact us once they've
[00:09:11] initially registered something like a delayed bag at the airport.
[00:09:14] And as an ex-IT guy the belts and braces approach is you can only improve what you measure
[00:09:19] and there's a lot of distraction around new technologies at the moment but when I was doing
[00:09:22] a little research on you guys, customer satisfaction up 25 points, employee happiness up 12 points.
[00:09:29] Are there any other metrics that you use to measure the success of AI implementations in both
[00:09:35] customer and employee experience because it's not just about getting the new technology in there,
[00:09:40] it's what difference are we making how do we measure that? Anything you can share around that?
[00:09:43] We measure first contact resolution that's increased by six points year on year and that
[00:09:49] is quite a big shift for us because actually the complexity of our customer contact can sometimes
[00:09:54] mean that a repeat contact is sometimes often needed if somebody's changing a ticket etc.
[00:10:00] So to see our first contact resolution and really on the back of predictive routing because
[00:10:05] when you're putting the right, the customer in front of the right skilled age and who can
[00:10:09] handle that contact with proficiency, you will naturally see your first contact resolution
[00:10:15] increase. I think another one that stands out for me, we've talked about HTC, CSAT etc.
[00:10:20] I can't help but pick up on our employee attrition which is a 40 point improvement
[00:10:27] in the last two years and which is incredible because now that might not directly be related
[00:10:32] to just AI features but what it is related to is it is a far calmer, more positive environment
[00:10:40] to work in when you know that you're using AI to actually give, you're improving your
[00:10:46] agent occupancy, you're avoiding employee burnout and so that can't be overlooked.
[00:10:54] To go back to that piece about when we first started partnering with Genesis, the implementation
[00:10:59] was a serious undertaking. We were moving our workforce management, we were working our digital
[00:11:02] channels, our voice channels for various different parts of the business onto one platform and it was
[00:11:07] still against the backdrop of COVID recovery. We were still in that recovery period.
[00:11:12] In 2023, we started to be able to leverage different features to target specific business
[00:11:16] issues that have always existed to bring some of our specialist teams in to do email on there to
[00:11:21] replace services that we had prior to COVID and had to shelve because we no longer had the resource
[00:11:26] to do it and we're at the point now where we can really start thinking well what's the future
[00:11:32] look like? We've fixed it problems and now we're trying to preempt problems and differentiate
[00:11:36] the service through the use of AI. Talking about the future and we are very early stages on some
[00:11:41] of the things that we're talking about here but if we do try to look into the future a little bit
[00:11:45] I'm sure you can't share too much on this but how do you foresee the latest virtual agent or
[00:11:50] co-pilot enhancements further improving Virgin Atlantic's digital service delivery and
[00:11:56] is there anything that excites you about that possible potential on the horizon?
[00:11:59] So we've been in discussions with the guys over in Galway about these features that are coming so
[00:12:04] we are excited about answer highlight which is what we found was great about agent assist is
[00:12:10] our old the way we structured knowledge we had everything you could ever need to know about
[00:12:14] something and then an advisor needed to go through that and find the bit that applied to their
[00:12:17] particular customer whereas our new structure for knowledge and agent assist takes them to
[00:12:21] the relevant piece of information so answer highlight does that even better take you to
[00:12:25] the specific answer which is great the line of text if you need to give a really quick answer
[00:12:29] to a customer so we're looking forward to that being implemented. We're working with the team
[00:12:32] to understand what use cases the co-pilot will add value in our industry and our business
[00:12:38] because we have some requirements where we have very complex processes that we would like to see
[00:12:43] standardized to make sure everyone's following them consistently but these are quite involved
[00:12:47] processes so we need to find the sweet spot where the co-pilot isn't having to go through
[00:12:53] such a lengthy process that it becomes quite complex and then it's the chance for errors to
[00:12:57] happen and things so that's very much at the early stages discovery period at the moment.
[00:13:02] I mean I think I'd add and this you know this isn't something that's necessarily
[00:13:06] clearly placed on our roadmap this year but certainly something when I think about the
[00:13:10] future you heard me talk earlier about how the customer center is made up of your kind
[00:13:14] of contact center function but also customer care what I'm really excited about leaving here is
[00:13:19] really trying to just delve into the possibilities within a customer care department that don't have
[00:13:26] the natural channels like voice but actually you know is there any opportunity to automate
[00:13:32] those low value cases to actually then make sure that your humans are freed up for those more
[00:13:37] complex emotive transactions you know if I think about customer complaints you know it's a natural
[00:13:42] part of any business what I'm really excited about when I look ahead to the future is is there a way
[00:13:47] that we can segment how we how we deal with those those emotive use cases those customer journeys
[00:13:54] because you know we actually want to make sure that we can provide the best experience even when
[00:14:00] it's not been a great experience for the customer if they have to make a complaint what I'd like to
[00:14:05] do is how we leverage the AI features to actually drive those customer journeys as well. Yeah and I
[00:14:11] hosted a panel yesterday and the big theme was the last best experience anywhere any of us have
[00:14:16] anywhere becomes the standard expectation for the future and I suspect we've all got examples of
[00:14:21] just that so how do changing market trends expectations from your customers how do they
[00:14:27] influence your AI strategies particularly in delivering those seamless journeys across
[00:14:31] multiple regions and that enhanced expectation that becomes the standard? I think in terms of
[00:14:36] market trends I would probably say in terms of customer expectations I mean where there's
[00:14:40] certainly a customer expectation now that you will have some sort of web chat feature on your
[00:14:45] website customers don't wish to call us we do know from our own data that you know and we know that
[00:14:52] you know customers generally need to call us because they might not be able to self-serve
[00:14:56] that particular transaction online and we we know from our from our customer surveys that the
[00:15:02] expectation would be that they want to do it online so they don't want to have to call and so that
[00:15:07] that helps us drive those I guess those AI conversations around conversational bots etc
[00:15:11] you know where can we expose the the bot on our website at those crucial points where we know our
[00:15:18] customers are maybe struggling or yeah and you know we can see in the data that actually they
[00:15:23] it's a transaction that they they aren't necessarily able to self-serve therefore you place a web
[00:15:29] bot in front of them and with the potential to then hand off to a human you know that's a far
[00:15:33] greater offering I think for our customers but I think you know the reality is we've got a lot
[00:15:40] of work that we're focusing on within the customer center to drive the self-serve capabilities because
[00:15:47] we you know we think around maybe 50 60 percent on average of our voice contact is as a result
[00:15:53] of not being able to do that transaction online and that will always underpin all of our decisions
[00:15:58] around what's next on the AI features what what is the prioritization of those things and what
[00:16:05] what is ultimately it needs to drive a better customer experience
[00:16:09] a more efficient operation and largely reduce cost. And we are sat here at the experience event
[00:16:17] in Denver for Genesis I don't know how much of this you'll be able to talk about but with Genesis
[00:16:22] continually expanding its AI capabilities are there any specific areas of conversational AI and
[00:16:28] intelligence that you see as most valuable to Virgin and your continued growth and securing
[00:16:34] that competitive advantage? So on a tactical level some things we're looking forward to putting in
[00:16:38] the near future is we've talked about how people are important and we love getting our people
[00:16:43] engaged with our customers and things so we're looking at implementing the use of scorecards
[00:16:48] and gamification so using the AI capabilities and feeding our own data in so we create that
[00:16:54] this virtual circle where our agents are driving their own performance so they can see their
[00:16:58] scorecards and relationship to their peers and once we can feed our own data in as well as the great telephony
[00:17:03] metrics and messaging metrics you can get out of Genesis we can put in all of our sales
[00:17:08] information and things and we can understand what customers want to purchase what drives
[00:17:12] customers to purchase and the agents can start driving their own performance that way so in
[00:17:16] the near future that's one of the things we're looking to put in but as Louise has already alluded
[00:17:20] to there's a lot of things within our business we think could be automated through business process
[00:17:25] automation using AI so we're really excited to really delve into those steeply in the next few months.
[00:17:31] Fantastic well we are reaching the end of the event here so on that long plane ride home you would
[00:17:37] have had a lot of conversations with people on the show floor anything you're going to be reflecting
[00:17:41] about on that journey home? The big thing for me is CRM inside Genesis we have parts of our
[00:17:49] business who work in a sort of case management environment and when we first implemented Genesis
[00:17:55] it didn't feel like the features were there for us to migrate that over and now we're really keen
[00:18:00] on exploring that and that will allow us to leverage some unused aspects of the Genesis cloud
[00:18:07] like their external contacts and things like that then I think that will give us that holistic
[00:18:11] picture of our customers and we can personalize further then. Yeah I would absolutely agree with
[00:18:16] Michael actually it's CRM within Genesis for me it's that I think we've got some very
[00:18:23] exciting user cases customer journeys that we've not tapped into yet and I you know that that's
[00:18:29] really kind of getting me quite interested and excited in what could be the next chapter for
[00:18:34] our partnership with Genesis. And for anyone listening just wants to find out a little bit
[00:18:38] more information maybe inspired by your journey is there any way they can find out more information
[00:18:43] online or anywhere you'd like to point anyone listening that want to carry on the conversation
[00:18:47] or start a conversation with you about anything? Well by all means everyone is welcome to visit our
[00:18:52] website virginatlantic.com just to understand kind of the customer journey there the sort of
[00:18:57] the flow of how we support on both the sales and service side you can also then get to you know test
[00:19:03] our lovely chatbot our web messaging product but also you know if beyond that if there's any
[00:19:09] questions that any of our colleagues you know any externally have they can reach out to us on LinkedIn
[00:19:15] Awesome well I'll have links to that so everyone can find you nicely and I think it's really
[00:19:19] interesting because there's a lot of hype around AI at the moment there's a certain amount of
[00:19:22] cynicism in some areas but to have these real world use cases and not only that the measurable
[00:19:28] impact that you're having thank you so much for sharing that today. Thanks Neil. See you.
[00:19:32] As we've learned today AI's potential to transform customer and employee experiences
[00:19:37] is immense and Virgin Atlantic's journey with Genesis AI showcases the real world benefits
[00:19:44] of adopting advanced AI technologies from voice segmentation bots to predictive routing some
[00:19:50] incredibly cool things around that mentioned by Louise and Michael today and for me these
[00:19:55] innovations not only improve service delivery but also enhance overall satisfaction for both
[00:20:01] the customers and employees and that is the big takeaway but what role do you see AI playing in
[00:20:09] shaping the future of business how do you see it impacting your industry please share your
[00:20:14] thoughts join the conversation by emailing me techblogwriteroutlook.com twitter linkedin
[00:20:20] instagram just at neil c hughes but it's time for me to hit that show floor again so I'll be
[00:20:26] back again tomorrow with another unsuspecting guest but thank you for listening today and until next time
[00:20:34] don't be a stranger

