Transparent AI, real value: Why responsible personalisation will define the customer economy in 2026

By Shahid Nizami, VP APAC & GCC, Braze

AI is now at the forefront of consumer engagement, increasingly used by consumers and brands alike to shape the customer experience. Across the world, especially in Asia and Singapore, AI is becoming the engine behind acquisition, retention, and engagement.

That shift raises new expectations - not just to have customer preferences understood to the letter, but to have clarity, consent, and transparency in how data is used across touchpoints. However, customer confidence is not keeping pace as AI adoption accelerates.

Braze’s 2026 Global Customer Engagement Review found that while 93% of surveyed marketing leaders globally believe AI helps them understand customers more accurately, only 53% of surveyed consumers feel brands are accurately predicting their wants and needs.

Relevance is not the only issue. A study by IDC and Microsoft also showed that fewer than one in four Singapore consumers trust organisations that provide digital services to protect their personal data. This echoes findings from Braze’s research, which found 66% of Singapore teams say they are constantly reviewing their AI use to mitigate customer backlash and compliance concerns.

As AI makes it easier than ever to scale engagement, the real challenge for brands is not just about capability but ensuring credibility. Customers are increasingly asking: "As brands personalise with AI, can I really trust how my data is being used?"

To address this, companies need to double down on responsible personalisation with AI. This starts with three commitments:

Make transparency something customers can actually feel

Start with ensuring that how AI is used and data is handled is transparently disclosed. Go beyond simple compliance, and ensure that customers have visible control over preferences and consent over every part of their user journey.

According to Braze’s research, 54% of Singapore marketers cite transparency about whether customers are interacting with AI, and 44% point to human review of AI-generated content as practical ways to maintain a human touch in AI-powered engagement.

Transparency must move beyond policy documents and into the experience itself. Customers should be able to understand when AI is shaping an interaction, why certain recommendations are being made, and how their data is influencing the experience.

This is where better-defining “humans in the loop” helps. It goes beyond human reviews of automated messages, and involves setting clear guardrails, defining where automation should stop, and ensuring customers have the ultimate say on privacy. When transparency is embedded directly into the customer journey, it signals respect, and that respect builds trust.

Use permissioned, real-time context to build relevance with trust

Operationalising responsible AI in marketing also means being disciplined about the timing of signals that power personalisation. Braze’s research found that while 54% of Singapore companies say they update and leverage data in real time through streaming architecture, only 33% assemble content dynamically at the moment of engagement. That gap shows how easily AI can drift away from the customer’s actual context.

AI can enable personalisation at scale, but if the signals behind that personalisation are outdated, inferred without consent, or taken out of context, the experience quickly feels irrelevant and intrusive rather than helpful.

Overcoming this gap requires ensuring that personalisation is truly up-to-speed, grounded in signals customers have knowingly shared, and that those signals are used when they are still relevant.

Achieving this at scale and within compliance requires brands to take a closer look at how they manage data. This is where marketers must ask themselves: 

- Is our tech stack too slow to keep up with live data? 

- Are there better platforms that can help bring this data up to speed? 

- Can we use integrated tools and better methodologies to ensure governance and privacy at scale, in real-time?

Take a unified, responsible approach to using AI across channels

Finally, taking a responsible approach with AI in marketing means making decisions that are coherent and accountable across the entire customer journey.

Customers do not experience channels separately; they experience one brand. Yet, Braze’s research found only 20% of surveyed Singapore organisations manage multichannel engagement through a single interface. When AI is layered onto fragmented systems, the technology does not create clarity. It multiplies contradictions.

One team sends an email, another launches a paid ad, and a third triggers an in-app notification. Each interaction may be individually optimised, but without shared context the experience can become disjointed or excessively overbearing.

Rather than simply generating more ads, brands should use AI to make more informed decisions that bring value to customers in a way that resonates and is respectful of their preferences.

Harnessing marketing platforms that grant both a unified view of channels, the customer, and clear views on how decisions are made with AI ensures that engagement is coherent, relevant, and respectful.

Responsible AI will define the next phase of customer engagement. In 2026, the winners will not be the companies that automate the most. They will be the companies that use AI with discipline and restraint, orchestrating everyday interactions in ways that earn trust, deliver relevance, and create customer value that compounds over time.