Twilio predicts stricter AI customer service rules by 2026

Twilio expects new rules on artificial intelligence transparency, trust and customer handoffs to reshape customer experience across Asia Pacific and Japan in 2026, as brands adjust their technology and service models.

The US-based customer engagement firm predicts that regulatory and consumer pressure will change how companies deploy AI in contact centres and digital channels. It also expects fresh investment in systems that explain processes more clearly and support smoother transitions between bots and human agents.

Twilio bases its outlook on regional consumer research and discussions with clients in sectors such as banking, retail, telecoms and government.

AI identity rules

Nicholas Kontopoulos, Vice President of Marketing, Asia Pacific and Japan at Twilio, said most consumers still struggle to identify when they are talking to AI. Twilio research found that 90% of consumers failed to correctly identify AI-generated voice clips.

He said this creates an "AI identity crisis" as voice bots sound more human and make more autonomous decisions.

"When the majority of customers cannot distinguish who they are speaking to, regulatory intervention is a certainty," said Kontopoulos, Vice President of Marketing, Asia Pacific & Japan, Twilio.

Twilio expects mandatory disclosure of AI agents in customer service to become standard in sectors that use voice and chat automation. It said companies will need clear identification statements and consistent AI labelling to meet compliance obligations and manage legal risk.

Kontopoulos pointed to smartphone call-screening tools that can already classify automated calls. He said wider use of such features will shift transparency from a compliance issue into a core customer expectation.

Twilio forecasts that clear identification of AI voice agents will become a non-negotiable consumer right across finance, retail, telecom and government in 2026.

Demand for visibility

Twilio also expects operational opacity to become a major cause of customer churn. Kontopoulos said users now expect detailed answers during service disruptions or delays.

Consumers increasingly track deliveries, payments and service requests in real time. They want visibility of what has happened, why it has happened, and what comes next.

Kontopoulos said generic updates such as "Your case is being reviewed" no longer meet expectations. He said customers want time-stamped steps that show where a case sits in a workflow and which team is working on it.

Twilio expects brands to expose more internal process data directly to end users. It said this will include progress indicators and explanations in areas such as telecoms provisioning, logistics incidents, banking disputes and government applications.

Kontopoulos said companies that maintain opaque operations risk higher call volumes and rising attrition as consumers switch to rivals that provide more context.

Trust thresholds

Twilio also highlights what it calls the "AI Trust Threshold". This is the point at which a customer starts to doubt the reliability or appropriateness of an AI response.

Kontopoulos said this threshold will become a central operational metric in contact centres that rely on AI for first-line interactions.

Brands will monitor emotional intensity, hesitation and uncertainty in conversations. They will then route interactions to human agents when these signals appear.

Twilio expects firms to track sentiment decay, confidence scores and trust drop-offs in real time. It said this will support dynamic routing rules that switch from AI to humans before frustration turns into complaints or churn.

Kontopoulos said trust-aware routing and observability tools will become standard in mature customer experience environments across the region.

Friction as reassurance

Christopher Connolly, Director of Solutions Engineering at Twilio, said many customers now view some delays as a sign of care rather than a failure of service.

More than half of consumers in Asia Pacific and Japan say they would accept slower service if this improves security or accuracy, according to Twilio. The company said users see familiar verification steps, such as biometric checks for large bank transfers, as a normal part of high-risk activities.

Twilio expects brands to rethink long-running efforts to remove all friction from digital journeys. Connolly said firms will design "strategic friction" points that provide reassurance during sensitive actions.

He said unfamiliar or unexplained friction can still erode trust. Clear communication about the reason for a delay, and how it relates to protection or fairness, will remain essential.

Seamless handoffs

Twilio research suggests that AI-to-human handoffs remain a weak point in many contact centres. It said only 14% of human agents in Asia Pacific receive full context when a customer conversation moves from AI, while 65% of handoffs still require customers to repeat information.

The company expects this to change as consumers treat continuity as a sign of respect for their time.

Twilio said 97% of regional consumers value the ability to hand off easily from AI to a human. It expects firms to invest in orchestration tools that share real-time data across bots and agents.

Connolly said brands will seek to capture complete interaction histories and pass these to human operators without loss of detail. He said this will turn handoffs into opportunities to deepen relationships rather than points of friction.

Modular AI architecture

Twilio also forecasts a shift from monolithic conversational AI platforms to modular designs. It said many companies struggle with the cost and pace of model upgrades.

The company cited research showing that 81% of directors in Asia Pacific and Japan find it expensive to keep up with fast-evolving AI models. It said this strain combines with local performance gaps in language and accent handling.

Twilio data suggests that for 40% of APAC consumers, AI agents created a barrier by failing to understand their accents over the phone. It said 41% encountered systems that did not support their written or spoken language.

Twilio expects brands in the region to adopt modular, plug-and-play conversational stacks. It said this approach allows companies to use a "bring-your-own-LLM" model, switch providers, and plug in specialised tools for local languages.

The company said this modular trend will underpin many AI and customer experience investments in Asia Pacific and Japan in 2026.