Why the Basics Still Matter in an AI World

Two people with laptops as heads with AI on the screens - AI in customer service concept

AI is dominating the customer experience conversation, but in the rush to adopt new technology, many organizations risk overlooking the basics that still shape customer experience every day.

Yet those fundamentals have not disappeared. In many cases, they matter more than ever – as Customer Experience Consultant Steve Hindley explains.

Voice Remains a Critical Part of Customer Contact

Steve Hindley, Founder & Lead Customer Experience Consultant at NextGenCX
Steve Hindley

Despite years of investment in digital channels, voice remains a critical part of customer contact.

The 2026 UK Contact Centre Decision-Makers’ Guide from ContactBabel reports that the move from voice to digital channels appears to have stalled, with live voice interactions still preferred for complex and urgent queries.

That matters because voice is often where the most important, difficult or emotionally charged customer issues end up!

Customers may start online. They may use self-service. They may try chat, email, or an app first. But when something has gone wrong, when the answer is unclear, or when the issue really matters, many still pick up the phone.

If the IVR is confusing, if the menu options do not reflect why customers are really calling, or if people are routed to the wrong place, frustration builds before the customer has even spoken to an advisor. At that point, technology is not solving the problem. It may simply be adding another layer to it.

For expert tips to give your voice channel some well-deserved care and attention, read our article: 5 Ways to Take Better Care of Your Voice Channel

AI Cannot Fix a Broken Journey

AI can be extremely powerful when it is introduced into a well-understood operation. It can help identify patterns, support advisors, speed up access to knowledge, improve consistency, and reduce low-value manual tasks. But AI is not a shortcut around poor journey design!

A poorly designed customer journey does not become a good journey because AI has been layered onto it. A confusing IVR does not become customer-friendly by making it a voice chatbot.

A repeat contact issue does not disappear because the first interaction has been automated. Therefore, before organizations ask what they can automate, they should ask a more fundamental question: why is this demand being created in the first place?

Avoidable Demand Is Often Hiding in Plain Sight

Many contact centres are dealing with demand that could have been prevented. Customers call because information online is unclear.

They chase because they have not been updated. They repeat themselves because systems do not join up. They choose the wrong option because the IVR does not reflect the way they describe their problem. They call again because the first interaction did not resolve the issue.

This avoidable demand is expensive. It increases pressure on advisors, pushes up operational costs, lengthens queues and damages customer confidence. It can also create a misleading picture. A contact centre may appear to have a capacity problem, when in reality it has a journey problem.

It may appear to need more technology, when it first needs clearer routing, better information, stronger processes, or a more honest understanding of customer behaviour.

That is why root-cause analysis matters! The aim should not simply be to handle more contact faster. It should be to understand which contact should not need to happen at all.

For common CX challenges and ways to reduce escalations from virtual agents, read our article: Are Your Virtual Agents Escalating Far Too Many Queries?

Customers Still Really Only Care About Resolution

The Institute of Customer Service’s January 2026 UK Customer Satisfaction Index reported that 83.2% of customer experiences were right first time, the highest recorded in the UKCSI. That is an important benchmark for contact centres because it reinforces a simple truth: customers value resolution.

They want their issue dealt with properly. They want clear answers. They want to feel that the organization understands the context of their enquiry. They want channels that work together, not against each other.

A more sophisticated channel mix is not automatically a better customer experience. More tools do not always mean more clarity. More automation does not always mean less effort. When the fundamentals are weak, adding more complexity can make the customer experience worse.

AI Should Be Introduced From a Position of Operational Clarity

This is not an argument against AI. The contact centre sector should be exploring how AI can improve service, support advisors, and help organizations use insight more effectively.

The same ContactBabel research identifies AI as the top technology priority for contact centres over the next two years, so this is clearly where organizations are focusing attention and investment.

But sequencing matters! AI should be introduced from a position of operational clarity. That means understanding current demand, mapping the customer journey, identifying failure points, reviewing routing logic, listening to frontline teams, and looking honestly at what existing data is already showing.

Only then can organizations make informed decisions about where AI will add value. Without that groundwork, there is a risk that AI investment becomes reactive. It is used to manage symptoms rather than address causes. The better approach is to optimize what already exists before layering on more technology.

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Start With the Basics That Make the Biggest Difference

For many organizations, the biggest improvements will come from asking some straightforward questions:

  • Why are customers contacting us?
  • Which enquiries are repeat contacts?
  • Where are customers being forced to switch channels?
  • Where are advisors spending time compensating for broken processes?
  • Does the IVR reflect real customer language and behaviour?
  • Are customers being routed to the right place first time?
  • Is self-service reducing demand, or simply moving frustration elsewhere?

These questions may not sound as exciting as AI transformation, but they are often where the most valuable insight sits.

They reveal where customer effort is being created. They show where operational time is being wasted and they help organizations focus on the work that will improve both service and efficiency.

After all, the organizations that will get the most from AI are not necessarily the ones that move fastest. They will be the ones that understand their customers, their journeys, their data and their operational reality.

And in a sector under pressure to reduce cost, improve performance, and meet rising customer expectations, getting the basics right is not a step backwards, it is the foundation for everything that comes next!

Written by: Steve Hindley, Founder & Lead Customer Experience Consultant at NextGenCX

If you are looking for more information on contact centre CX, read these articles next:

Author: Steve Hindley
Reviewed by: Jo Robinson

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