Beyond AI Hype: Unlocking Real CX Impact Through Total Experience

Customer Experience is at a turning point. As AI moves from buzzword to business reality, many organisations are still optimising the wrong things: channels, activity metrics and technology narratives, rather than the experience system itself.

In this interview, I speak with Sushil Katdare, a Singapore-based pharmaceutical and healthcare commercial leader with more than 24 years of experience across Asia Pacific. Sushil is a Fellow of the Chartered Institute of Marketing, UK, creator of the CX Synthesis framework, and author of The Living CX System: Designing Total Experience in the AI Era.

We discuss why CX often fails because of a flawed premise rather than poor execution, what "AI washing" gets wrong, and how Life Sciences organisations can move from narrative to measurable human impact.

Karsten: Thanks for joining us today, Sushil. You argue that CX is failing due to a flawed premise, not execution. What is the one assumption most organisations still get wrong?

Sushil: Thanks for having me. Many organisations treat CX as an execution problem. Hire better people, bring in an agency, buy a new platform. Execution is a competency challenge and competency challenges are solvable. You can build capability internally or buy it externally. That is not where CX is fundamentally breaking down.

The flawed premise runs deeper. Many organisations still design experience in silos, each function optimising its own touchpoint, its own metric, its own quarterly target, and calling it CX. It is not. It is coordinated activity dressed up as experience.

Total Experience, which is what TX in my framework TX = (CX + EX) x AIe represents, only happens when customer experience, employee experience and the enabling technology come together as one coherent system with one shared purpose: delivering genuine value to the person at the other end.

Illustration: AI Amplifies the Experience System

The other assumption that quietly kills CX is FOMO-driven investment. Organisations chase the next capability because a competitor announced it, because a conference made it sound urgent, because the board asked about it. That is how you end up with sophisticated omnichannel infrastructure delivering a fundamentally hollow experience. The technology is impressive. The human on the receiving end is unimpressed. Fix the premise first. The execution will follow.

Karsten: Companies continue to invest in journey mapping and omnichannel orchestration. Why does this still not translate into real impact?

Sushil: Journey mapping has become one of the most beautiful displacement activities in modern business. Teams spend months mapping, colour coding, presenting and then the insight sits in a PowerPoint and life goes on. The real question is not whether you mapped the journey. It is whether you teased out the genuine leverage point buried inside it. The one insight that, if acted on, actually shifts something meaningful for the customer. Many organisations never get there because the map becomes the deliverable.

Omnichannel has a similar problem. What many organisations call omnichannel is actually a laundry list of channels running in parallel, each with its own logic, its own content, its own success metric. That is not orchestration. That is noise with a strategy deck attached.

But the deeper issue underneath both is the question nobody wants to ask out loud: are we doing all of this to genuinely solve a customer problem, or are we doing it to push our product more efficiently? Because if the honest answer is the latter, no amount of journey mapping or channel sophistication will manufacture real impact. Customers, whether they are HCPs or patients, are extraordinarily good at feeling the difference between being served and being sold to. Real impact starts when that question gets answered honestly in the room.

Karsten: You recently spoke about "AI washing." Is this just the same underlying issue, where narrative is optimised instead of the actual system?

Sushil: Yes, and it is arguably the same underlying disease with a different symptom. Greenwashing optimised the narrative around sustainability. AI washing optimises the narrative around intelligence. In both cases the actual system — the experience, the outcome, the human at the end of it — remains unaddressed.

My framework TX = (CX + EX) x AIe was built precisely to challenge this. AI in that equation is not a badge. It is a multiplier. And a multiplier amplifies what already exists. If your CX foundation is hollow, if your employee experience is broken, if your ethical guardrails are absent, AI does not rescue you. It scales your dysfunction faster and at greater cost.

I will confess with full transparency that I too felt the gravitational pull of the moment. I enrolled in a post graduation in AI and Machine Learning because if you are going to engage seriously with a technology reshaping every industry, you should probably understand it beyond the press release. What that education reinforced most strongly was the AIe component — Ethical AI — and why it cannot be an afterthought.

A major international airline learned this the hard way. They deployed a customer-facing AI chatbot that invented a reimbursement policy that did not exist, assuring a customer of a refund he was never entitled to. When the customer sued and the court ruled against the airline, the judgment carried a pointed reminder: do not deploy AI to join the bandwagon. Deploy it to solve real problems with proper ethical considerations built in.

That airline was dealing with ticket refunds. Our industry deals with human life. The stakes in pharma are not comparable. Every AI touchpoint we deploy sits somewhere on a chain that ends at a patient decision, a treatment outcome, a life lived better or worse. That is why every element of TX = (CX + EX) x AIe matters equally. You cannot optimise CX while ignoring EX. You cannot deploy AI while ignoring AIe. The equation only works whole.

Karsten: In Life Sciences, success is often measured through reach and activity metrics. Are these metrics part of the problem?

Sushil: I sit somewhere between two truths that are both correct. The first is that what cannot be measured does not exist — without metrics, strategy is just intention. The second is that some of the most important things in human experience, compassion, empathy, genuine care, are felt before they are ever quantified. Both are real. The tension between them is where good measurement thinking lives.

The problem in Life Sciences is not that we measure. It is what we choose to measure and what we do with it. Reach and activity metrics are not inherently wrong. Knowing how many HCPs you reached and how frequently tells you something operationally useful. The problem is when those numbers become the destination rather than the starting point. When the dashboard becomes the strategy. When the metric drives behaviour rather than reflecting it.

The framework I find most useful stretches across three connected pillars. First, did we do what we believed would create impact — the operational KPIs, reach, activity, execution quality. Second, did it actually change behaviour in the way we intended — the strategic KPIs, HCP engagement quality, prescription intent, patient adherence signals. Third, did it deliver the business impact we expected — commercial outcomes, market share, revenue contribution.

Each pillar informs the next. If business impact is missing, you trace back to behaviour. If behaviour did not shift, you trace back to execution. This is not just measurement. It is a diagnostic system that helps you fine-tune, fix leakages and sometimes have the courage to challenge the original goal entirely. That last part is where many metric cultures fail. They measure to confirm. The best ones measure to question.

Karsten: If leadership teams had to rethink CX from the ground up, what is the first thing they should stop doing?

Sushil: Stop AI washing. Immediately and without negotiation.

Leadership teams that bolt AI onto a broken customer experience get faster, more scalable broken experiences. Teams that deploy AI without addressing employee experience find their people working around the technology rather than with it. And teams that ignore the AIe — the ethical dimension — are one court ruling away from a very public lesson in why that component was not optional.

Rethinking CX from the ground up means asking the questions in the right order. What is the experience we are genuinely trying to create for our customers? What do our people need to deliver that consistently? And where does AI, deployed responsibly and purposefully, actually amplify both? That sequence matters. AI is the last question, not the first. Leadership teams that get this right will not just improve their CX scores. They will build something that holds up when scrutinised by regulators, customers, patients and increasingly by courts.

Karsten: Looking ahead, what will differentiate companies that truly deliver measurable impact on HCP engagement and patient outcomes?

Sushil: In my opinion, the fundamentals have not changed. They never will.

Genuinely understand the pain point. Stay insight driven. Stay data driven. Stay solution driven. In short, stay customer driven. I am aware this sounds like something from a first-year marketing textbook. But here is the uncomfortable truth: the reason it sounds clichéd is not because it is obvious. It is because it is hard, and many organisations have quietly stopped doing it while chasing the next capability.

Globally, the companies that will differentiate themselves are those that define the problem correctly before reaching for a solution. This sounds elementary until you sit in enough strategy sessions where the solution was chosen before the problem was understood. AI makes this worse, not better, if applied carelessly. A well-constructed prompt to an AI system reflects the quality of your thinking. A lazy prompt reflects the absence of it. The technology amplifies your clarity or your confusion in equal measure.

There is also a new frontier that forward-thinking leaders are beginning to take seriously: Generative Engine Optimisation, or GEO. As AI-powered search changes how HCPs and patients discover information, how your brand, your content and your clinical evidence surface in that environment is no longer just a digital marketing question. It is a commercial strategy question.

In Asia specifically, the differentiator is even more fundamental. Asia is not a market. It is dozens of distinct civilisations, each with its own codex of trust, community and decision making. The HCP in Jakarta does not think, decide or engage like the HCP in Tokyo or Mumbai. Companies that apply a global playbook uniformly across Asia Pacific are not doing omnichannel. They are doing organised irrelevance at scale.

The winners in Asia will be those who stay curious enough to sit with the complexity rather than flatten it. Who understand that insight in this region often lives not in the data but in the relationships, in the community infrastructure, the cultural nuance, the unspoken hierarchy of trust that no journey map has ever fully captured.

Fifty years from now, when AI has evolved beyond anything we can currently imagine, the company that understood its customer's real problem will still outperform the one that had the most sophisticated technology. That has not changed in the history of commerce. I do not expect it to change while humanity exists.

Karsten: Many thanks to Sushil for sharing such a clear and thought-provoking perspective on why CX needs to move beyond activity, technology and narrative towards measurable human impact.

The key takeaways are simple but powerful: AI only creates value when it amplifies a strong CX and EX foundation, and true differentiation will come from organisations that understand the customer's real problem before reaching for the next capability.

What do you think: Are organisations using AI to genuinely improve customer experience, or mainly to move faster with the same underlying assumptions?

Sushil Katdare's published work includes:

The Living CX System: Designing Total Experience in the AI Era — SSRN paper

Ethical AI: The Linchpin in a Total Experience Strategy — CustomerThink article

The views expressed by Sushil in this interview are solely those of the author in a personal capacity and do not represent or reflect the position of any organisation, employer or institution with which the author is or has been affiliated.

#CustomerExperience #TotalExperience #EthicalAI #LifeSciencesTransformation