By Angie Tay 
TDCX Group COO and EVP

Data, design, discernment: That’s how customer experience (CX) will be defined in 2026 and beyond. Analysts and industry leaders forecast CX wrought by an “agentic economy,” orchestrated customer journeys, and a harder pivot toward measurable business value.

By 2026, for instance, 40% of enterprise apps will include AI agents, pushing CX past assistive interactions into autonomous execution. Within five years, half of all customer service requests will come from machines transacting on behalf of human users. By 2029, the same agentic models are expected to resolve up to 80% of routine issues, while 30% of Fortune 500 companies will consolidate customer service into a single, multimodal AI channel. The surge in AI spend reflects this trajectory. In Asia Pacific alone, AI investments will grow 1.7x faster than overall digital transformation initiatives. 

Leaders increasingly recognize, however, that none of this progress creates value without orchestration. This entails dynamically connecting data, people, design systems, and decision-making to operationalize customer intelligence.

These shifts demand a more rigorous operating model. It’s why experts caution that 30% of companies will undermine their brand’s total experience through overconfidence in their AI and CX systems still anchored to traditional metrics that don’t create business value. As CX opens its agentic, orchestrated, and value-driven chapter, CX and customer support (CS) leaders need a clear strategy that uses this next direction to seize new opportunities for growth.

The agentic customer experience will be a boon or a bane for brands

Business leaders are placing serious bets on the agentic economy where AI carries out tasks, completes transactions, and initiates interactions. In the US’ retail market, for instance, agentic commerce is projected to contribute at least US$1 trillion in revenue by 2030. For enterprises, analysts predict that by 2028, 90% of worldwide business-to-business (B2B) purchases will be mediated by AI agents, influencing more than US$15 trillion in procurement.

What does an agentic customer journey look like? Instead of beginning with a person or an app, many interactions will open with an AI agent that already sorts intent, verifies information, and picks up simple requests. They will cancel or renew subscriptions, update account settings, check eligibility or authorizations, and prefill information — tasks that previously required active customer effort. In the B2B space, similar patterns will shape product discovery, vendor assessment, and digital shelf placement as AI intermediaries determine what options ever make it in front of the buyer.

The agentic customer experience isn’t a matter of simply adding AI to the CX stack. What makes it “agentic” is the kind of work AI performs: completing structured or repetitive tasks, initiating actions based on context, and interpreting inputs within a single interaction. 

On the upside, this means shorter journeys, fewer handoffs, and new sources of revenue. The caveat? They’ll fall apart without technical and operational foundations. That disconnect is why 81% of leaders regretted their recent CX technology purchases, and why nearly half of agentic AI projects are expected to be shelved by 2027 despite the hype.

Giving AI more autonomy ironically puts more weight on humans. Judgment, nuance, and trust still rest with people. CX and CS leaders now need to transform their teams into AI-augmented experts who validate AI’s decisions, manage exceptions, ensure fairness and accuracy, and bring in emotional intelligence. However, CX can’t depend on piecemeal or scattered improvements. Brands need to holistically orchestrate the systems, the people, and the experience design to ensure that the innovations they adopt don’t recreate the silos they’re trying to eliminate in the first place.

Orchestration is the next competitive advantage in CX

Orchestration will be CX’s defining capability in the years ahead — keeping technologies, teams, and design systems in sync so that the experience stays coherent even as it evolves.

A major part of it sits in the technology stack. In Asia Pacific, for example, experts predict that by 2030, more than half of enterprises would’ve already centralized multiple AI agents for improving employee collaboration and scaling operations. However, that ambition sits on top of an already crowded reality. Just this year, CX and CS teams already use at least 48 different technologies across their operations. Competing priorities and aligning business objectives have also become the top challenges for 61% of leaders when implementing CX initiatives. With that much machinery in play, organizations need an operational architecture that defines how technologies and humans interact.

Orchestration also applies to people. Contrary to earlier assumptions that AI would trigger widespread job loss, the opposite is unfolding. Analysts now predict that 50% of the companies that planned major workforce reductions will walk back on those targets, partly because they underestimated the intricacy of transitioning to automated and AI-driven operating models. 

Leaders are now rethinking the role of their employees. By 2026, for instance, 40% of all job roles in G2000 companies will involve working with AI agents. With the workforce moving both upstream and downstream, leaders must build the operating rhythm that enables this human-AI collaboration. That starts with knowing where human involvement protects trust, designing AI-assisted workflows, and upskilling teams to interpret and correct AI’s output rather than blindly relying on it.

All these culminate in CX design. With upcoming accessibility regulations taking effect and with AI already influencing how customers interact with brands, companies need an infrastructure that can absorb these orchestrations without breaking the user interface and experience (UI/UX). Indeed, more than 80% of enterprises are expected to invest heavily in CX-first design systems by 2026.

CX design should now be seen as a value engine, not a branding, marketing, or vanity exercise. That includes measuring how UI/UX in CX portals strengthens the bottom line — higher task completion, lower abandonment, stronger conversion, and longer lifetime value, to name a few.

CX scorecards will focus more on proving and creating business value

If yesterday’s CX was about counting efforts, tomorrow’s will be about proving which ones are worth their salt. CX teams conventionally run on KPIs and metrics that were calculated only at the end of the customer journey, such as customer satisfaction (CSAT) scores, Net Promoter Score (NPS), service-level agreements, average wait times, resolution speed, occupancy, and tickets solved. 

However, in an agentic economy where technologies, people, and decisions are orchestrated at each touchpoint, tracking the volume and efficiencies would only tell half the story. Leaders need meaning and proof of value to see the full picture. More than 66% of executives already felt the increased pressure to prove the ROI of their CX initiatives. It’s also why analysts also predict that at least 15% of CX teams next year will head toward a “metrics death spiral,” trapped in a vicious cycle of reporting metrics that don’t demonstrate commercial impact, consequently tightening their budgets and even losing their strategic seat in the C-suite. 

Consider first-contact resolution (FCR). Analysts note that only 30% of customer issues are resolved during the initial interaction. Beyond efficiency, it highlights where revenue, loyalty, and trust erode. The challenge isn’t to raise FCR for its own sake, but to improve it in ways that protect lifetime value. Which moments in the interaction increase the risk of churn? Where can conversion be strengthened? Which friction points force the customers to try again or switch channels? How can the quality of each interaction be lifted so that customers stay longer?

This change of mindset can be a paradigm shift to brands, which is why more than 70% of leaders still struggle to design CX initiatives that enhance customer loyalty. By 2026, 60% of enterprises in Asia Pacific will need outside expertise just to assess their infrastructure’s readiness for AI and generative AI (GenAI). 

The pace of AI adoption, the complexities of orchestration, and the pressure to create value all hinge on capabilities that many organizations might not be able to gain quick enough to keep up in the fast-evolving agentic economy. Each requires depth in data, design, and decision-making that brands might not have the bandwidth to scale in parallel. Outsourcing can be the differentiator for CX transformation by bringing in the specialized execution required to accelerate how they turn intent into impact. In fact, 90% of leaders expect outsourcing to take on a bigger role in their plans for growth, with 96% prioritizing partners that create value over those that simply cut costs.

TDCX enables the future of agentic customer experience

The year ahead will test the brands’ mettle to navigate a future where AI acts, human roles advance, and customer experiences either create business value or buckle under their own complexity. 

TDCX has spent more than 30 years orchestrating these dynamic parts together, where data, design, and decision-making operate as a single powertrain for growth. Our TDCX AI team works with enterprises to map and manage their AI journey, enabling them to better understand how to harness AI and GenAI’s potential, where humans must be in the loop, and in what ways they can reinforce each other. Our CX teams aren’t an operational afterthought but are embedded in touchpoints where outcomes tie back to the bottom line.

And even as the agentic economy accelerates worldwide, customer confidence is still earned locally. Our global, multilingual delivery model anchors that trust across regions, sectors, and customer profiles. It’s also the industry-recognized blueprint that informs how brands deliver CX across Europe, Asia, and beyond — from our use of data and insights, customer-centric culture, technological innovations, operational resilience, and AI enablement programs to our continued leadership in outsourcing. These are the outcomes that distinguish how TDCX enables the future of CX, grounding foresight and aspiration in execution that, in turn, becomes measurable advantage.