February 03, 2026
Deployed, Not Delivered: Why AI Isn’t Fixing Customer Experience
There is a persistent belief in the customer service industry that deploying AI is, in itself, a strategy. Drop in a chatbot, layer on an omnichannel platform, and the seamless experience that customers expect will simply materialise. After years at the sharp end of contact centre operations, Lisa Orford, Global VP of Contact Centre at 8×8, has seen this pattern play out more times than most.
Orford has watched organisations pour resources into AI-powered tools while quietly neglecting the unglamorous infrastructure that actually determines whether a customer has a good experience. In this interview, she pulls the curtain back.
The Illusion of the Seamless Experience
When organisations invest in AI-powered platforms, they tend to assume the hard work is done. The technology is in place. The customer, surely, will feel the difference. But according to Orford, that assumption is where most of them go wrong.
“Companies think that once they implement those platforms, they automatically will be providing a seamless experience, but the reality is a bit different,” she says. “Customers often still describe those experiences as fragmented or frustrating.”
Organisations are so focused on the headline act that they overlook the foundational work that makes any of it function. “They think just by adding a chatbot is going to solve all the problems. And the reality is often they neglect things like data hygiene, or the orchestration and integration into a lot of back office systems,” she explains.
It’s a familiar pattern to anyone who has watched enterprise technology roll out at scale. The shiny new tool gets the budget, the boring plumbing gets ignored. But in customer service, the consequences of that imbalance are felt immediately, and personally, by the customer on the other end.
Metrics Without Meaning
The obsession with AI has come hand in hand with an obsession with the numbers that justify it. Short response times, high resolution rates, and efficiency gains are the full dashboards. Orford argues that most organisations are measuring the wrong things, or at least not measuring enough.
“The agent experience and the customer experience are so intertwined. Understanding how our agents are feeling, I think, also has a reflection on understanding how our customers are doing,” she says.
Most CX reporting focuses outward, on what the customer experienced. But if the agents delivering that experience are struggling or under-resourced, no amount of sentiment analysis on the customer side will mask it. The two are linked, and treating them as separate problems is a mistake.
The bigger issue is that organisations often collect customer feedback through surveys, post-interaction scores, and other mechanisms, but rarely act on what they find.
“We often ask the customer of their experience, but what we see is that traditionally, there isn’t a lot of action taken from that data,” Orford says. “And ultimately, that’s the data that can really tie together those two engagements.”
The Difference Between Understanding and Doing
So what separates the brands that genuinely improve customer experience from those that simply layer on more technology? Orford believes it comes down to action.
“It’s not just tracking the data,” she says. “It’s the maximum insights that you get from it. But having the data is absolutely the first step. If you have the insights, you are going to know where to focus, what the results are coming back as, and therefore be able to take action.”
She illustrates the point with a simple example. A customer calls to reschedule an appointment. An AI system might correctly understand the request and confirm the details. But if it cannot actually rebook the appointment, the interaction has failed.
“Often what we see today is just the collection, not them with the action to reschedule or book, which really has the impact to complete that end-to-end journey.”
It is, in essence, the difference between a tool that understands and a tool that does. And right now, most tools are stuck on the wrong side of that line.
Thinking Beyond the Channel
One of the subtler traps in modern CX is the way organisations structure themselves around channels. A team for live chat, another for voice, and another for email. Each has its own metrics, its own tools, and its own definition of success. The customer, of course, doesn’t think in channels at all.
“Customers aren’t looking necessarily at the channel. They’re thinking about the experience they want to get. And I think companies need to think that way, too,” Orford says.
The problem is that channel-based thinking produces channel-based failures. A customer who starts an interaction on chat and continues on the phone often has to repeat themselves, re-explain the problem, re-verify their identity, and start over. “
If we just think of channels independently, we’re often going to think very siloed,” Orford says. “Experiences can’t hand over very fluidly from one to another.”
The fix lies in better continuity, ensuring that data, context, and conversational history travel with the customer, wherever they go.
The Work Doesn’t End at Launch
There is a tendency, Orford notes, to treat deployment as a finishing line. It is, she says, one of the most common mistakes she sees.
“Often, what we see is people put in tools and things and then say, ‘I’ve done my job.’ But it’s so important to monitor and measure and make sure that we are continuously providing that level of service.”
This applies equally whether the interaction is handled by an AI system or a human agent. The standard of service should not change based on who, or what, is delivering it. Continuous monitoring, quality management, and a willingness to adjust are not optional extras. They are the job.
Five Years from Now
Asked what truly great customer experience will look like in five years, Orford is refreshingly cautious.
“Five years is a very long prediction,” she says and quickly acknowledges how fast the landscape has already shifted. But her vision is notably understated. It is not about the next breakthrough in AI, but about making good on what already exists.
“I think for me, it will be less about the changes in AI, but the fact that we will truly have adopted the technologies that we already see benefit in today,” she says.
The tools to deliver less repetition, happier agents, and more context across every interaction already exist; the industry simply needs to use them properly.
She closes with a point that, for all its simplicity, cuts through most of the noise in this space: “Brands that focus on that experience, that outcome, rather than the technology they use to deliver it, are the ones that are going to win.”
Given how often the industry gets that equation back to front, it may be the most important thing anyone in CX is saying right now.
