What makes a genuinely great customer experience?
They’re all important, but sometimes the real test is how a business responds when someone needs a little more help than usual.
That’s one of the biggest lessons from this year’s UK Customer Experience Awards, where Octopus Energy was named Overall Winner for its approach to supporting customers in vulnerable circumstances.
The recognition highlights an increasingly important aspect of customer service: understanding individual circumstances and knowing when someone needs additional support. And with businesses introducing more automation into their customer service operations, AI vulnerable customer support is becoming an important area of discussion.
Used appropriately, AI can help businesses recognise potential signs of vulnerability, analyse customer sentiment and direct sensitive enquiries towards trained employees. But delivering a positive vulnerable customer experience still depends on having people who can respond with understanding, flexibility and sound judgement.
What can businesses learn from Octopus Energy's customer service success?
According to Customer Experience Magazine’s October 2026 news roundup, Octopus Energy was named Overall Winner at the UK Customer Experience Awards, held on 14 October. The business also secured three gold awards:
Best CX for Vulnerable Customers
Customers at the Heart of Everything
Best Product or Service Development
It’s impressive recognition in an industry where customers can face complex, sometimes stressful situations. Energy bills, payment difficulties, changes in personal circumstances and ongoing service problems can all make seemingly routine enquiries considerably more sensitive.
Worth noting:
The awards don’t establish that Octopus Energy’s vulnerability programme uses AI. However, its success offers a useful starting point for exploring how other operations can improve customer care, including where AI might help.
The wider lesson is that vulnerable customer support needs to be built into everyday service delivery, rather than treated as an exception.
Why is vulnerable customer experience becoming so important?
Customer vulnerability takes many forms, and it isn’t always obvious. Someone might be experiencing financial hardship, dealing with bereavement, managing a health condition or struggling to navigate a complicated service.
These circumstances might be temporary or ongoing. They can also affect how people communicate, what support they need and how easily they’re able to resolve an issue.
For example, a customer dealing with bereavement may need more time to explain their circumstances. Someone struggling financially might require a different approach to a payment discussion. Another customer may simply need information explained more clearly.
A standardised customer service process won’t always accommodate those needs. This creates a challenge for businesses trying to deliver consistent service across thousands of interactions.
How do you recognise when someone needs extra support, particularly if they don’t explicitly ask for it? That’s where technology can offer assistance.
Customer vulnerability takes many forms, and it isn’t always obvious. Someone might be experiencing financial hardship, dealing with bereavement, managing a health condition or struggling to navigate a complicated service.
These circumstances might be temporary or ongoing. They can also affect how people communicate, what support they need and how easily they’re able to resolve an issue.
For example, a customer dealing with bereavement may need more time to explain their circumstances. Someone struggling financially might require a different approach to a payment discussion. Another customer may simply need information explained more clearly.
A standardised customer service process won’t always accommodate those needs. This creates a challenge for businesses trying to deliver consistent service across thousands of interactions.
How do you recognise when someone needs extra support, particularly if they don’t explicitly ask for it? That’s where technology can offer assistance.
How can AI help identify vulnerable customers?
Because if AI makes customer service harder, what's the point?
01
Customers should know when they're interacting with generative AI.
Businesses should make it clear when a customer is dealing with an AI-powered application, rather than leaving them to work it out for themselves.
02
AI shouldn't create barriers to required support channels.
Customers must still be able to access the support channels telecoms providers are required to make available, rather than finding themselves trapped behind an AI chatbot.
It's a fairly straightforward principle. And one that makes sense well beyond telecoms.
No. And it’s important to make that distinction. The September assessment didn’t introduce a new set of AI customer service regulations covering every UK business.
Ofcom regulates communications services, and its specific expectations relate to how existing telecoms consumer protection rules apply as companies introduce AI. For businesses outside telecoms, those particular requirements don’t automatically become legal obligations.
However, the principles behind them provide a useful benchmark for responsible AI deployment. Whether you’re running an online retailer, professional services business, hotel or contact centre, customers still expect transparency, appropriate support and a straightforward way to resolve problems.
So while the discussion around AI customer service regulation in the UK continues to evolve, businesses don’t need to wait for new rules before improving their customer experience.
AI offers clear advantages for customer service teams. It can answer routine questions instantly, handle enquiries outside opening hours and capture information before an employee becomes involved.
But there are situations where a conversation needs more than an automated response.
Imagine a customer calling their broadband provider about an incorrect bill.
An AI assistant might explain the charges, retrieve information or identify a straightforward issue. That’s useful. But what if the customer disputes the charges, has already complained twice or needs an exception to the usual process? Repeatedly directing them back to the same information only adds frustration.
This is where human support and AI need to work together. AI should help identify the issue, gather relevant information and direct customers towards the appropriate outcome. If that requires a person, the transfer should be straightforward.
Importantly, the receiving employee should have the information they need to continue the conversation without asking the customer to start again.
Five principles for responsible AI customer experience
The Ofcom AI customer service assessment provides a useful opportunity for businesses to review how their own systems operate.
01
Make AI transparency a priority.
Customers should understand when they’re interacting with an AI assistant. A simple introduction explaining what the assistant can help with is a good starting point. AI transparency helps establish trust and avoids confusion about what the technology can and cannot do.
02
Make human support easy to access.
If someone asks to speak to a person, there should be a practical route to appropriate support. That doesn't necessarily mean an employee must be available immediately, 24 hours a day. But customers should understand their options, whether that's a transfer, callback or another accessible support channel.
03
Recognise when AI isn't the right solution.
Complex complaints, sensitive circumstances and unusual requests may require greater flexibility or judgement. Businesses should define the situations that trigger escalation, rather than expecting AI to handle every interaction.
04
Make every handover count.
Having to repeat an explanation is one of the most frustrating parts of customer service. AI can help by collecting the relevant information and, where appropriate, summarising it for the employee taking over. A good handover should make the next stage of the conversation easier for everyone.
05
Measure customer outcomes, not just automation.
How many enquiries did AI handle? It’s an important operational question, but it shouldn’t be the only measure of success. Consider whether customers received useful answers, whether problems were resolved and how often they needed to get in touch again. Responsible AI customer experience means looking at the outcome from the customer’s perspective.
What does this mean for businesses investing in AI?
You just have to be clear about the role you want AI to play.
An AI virtual receptionist like Aila can answer calls, provide information, capture enquiries and help make sure customers aren’t left without a response.
More advanced AI customer experience solutions can help businesses manage interactions across multiple channels and direct enquiries through appropriate workflows.
And Conversational Intelligence can highlight recurring problems, customer sentiment and opportunities to improve how teams deliver support.
The value comes from connecting those capabilities with your existing customer service operation. That means deciding which enquiries can be resolved automatically, when employees should become involved and how customers move between the two.
Good AI customer service should make getting help easier
Ofcom’s September assessment is a useful reminder that the success of AI cannot be measured purely by how much it automates.
Speed matters. Availability matters. Efficiency matters. But so does being able to get help when you need it.
For telecoms providers, Ofcom has clarified how its existing regulatory expectations apply to AI customer service. For other UK businesses, the wider lesson is just as relevant: build services around customers, make AI transparent and keep appropriate human support within reach.
Because the goal should always be a better outcome for the customer.
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