The New Frontier of Customer Experience: How Agentic AI and Multimodal Engagement Will Reshape CX in 2026
In boardrooms and service centers worldwide, one challenge dominates every CX discussion: how to stay relevant in a future powered by AI. Customer behavior is evolving faster than most organizations can adapt. From personalized digital journeys to automated agent responses, the customer experience ecosystem is undergoing an unprecedented transformation. Let’s see what’s important from an expert about CX in 2026.
Enter agentic AI — intelligent, personalized assistants capable of making decisions on behalf of consumers. The rise of these AIs, combined with multimodal engagement and shifting discovery patterns, is redefining how brands interact with their customers. CX leaders who fail to adapt risk being left behind, while innovators will unlock new pathways to trust, personalization, and profitability.
The Rise of Agentic AI: From Search to Action
Shopping, as we know it, is about to change forever. The future customer may never “visit” your website, browse your categories, or click your ads. Instead, their personal AI assistant will do it for them.
As Peter Galvin, Chief Growth Officer at NMI, explains:
“In 2026, we’ll start to see the beginnings of consumers using agentic AI to shop on their behalf. These AIs will be personalized and able to understand individual preferences. They’ll be able to search for goods and services across multiple retailers, follow the parameters you set, and even complete purchases automatically. Imagine setting your parameters once and your AI does the rest – automatically buying when something meets your criteria, or presenting you with a few curated options to choose from. The ability to simply think about what you want and have your AI find and purchase it, whether from a specific store or across multiple websites, will redefine the next era of commerce.”
This shift is monumental. Unlike today’s recommendation engines that predict likely purchases, agentic AIs will act independently — blending personal data, contextual intelligence, and ethical algorithms to make informed purchasing decisions.
For CX leaders, this means personalization will no longer be a marketing layer — it will be a core design principle. Customer experience optimization will shift from influencing human behavior to training digital agents to interpret, trust, and reward your brand’s ecosystem.
CX in 2026: The Disappearing Customer Touchpoint
Traditional CX relies on mapping the human experience — awareness, consideration, purchase, and post-sales engagement. But agentic AI challenges that linear journey. When intelligent agents become intermediaries, brands must rethink how they create connections.
If an AI assistant compares credit card offers or travel deals on behalf of a user, it’s not a person reading your homepage copy. It’s an algorithm evaluating your transparency, pricing, and reputation against others in real time. The emotional connection you once built through visual storytelling must now translate into machine-readable trust — structured metadata, open integrations, and verified brand signals.
This evolution calls for a new CX discipline: “CX for AI.” It entails optimizing experiences for both humans and the intelligent systems that now mediate their decisions. Just as SEO teams once chased Google’s algorithms, tomorrow’s CX strategists will compete for AI discoverability.
Multimodal Engagement: Beyond Keywords and Clicks
The way customers search, interact, and decide is also changing rapidly. Voice, image, gesture, and conversational inputs are replacing traditional keyword searches. This new behavior creates opportunities — and challenges — for every CX-driven brand.
Peter Galvin articulates the shifting search paradigm clearly:
“AI is rapidly rewriting the rules of search. In the past, success was all about SEO – making your website the destination where people came to find information and engage with you. Looking forward, it’s no longer just about optimizing for clicks, it’s about optimizing for answers, having the best answers to the questions people are asking. AI agents will be the ones surfacing your content and crediting you as the source. The focus is shifting away from driving traffic to your site towards discoverability and trust. In the age of AI agents, the winners will be the brand whose content is discoverable, credible and becomes the trusted source for AI itself.”
This “optimization for answers” mindset marks a profound CX moment. Brands must not only provide useful content, but also structure it in ways that AI can interpret with confidence. That means metadata-rich documentation, explainable recommendations, and omnichannel content strategies that extend beyond web pages.
Multimodal engagement spans voice commerce, AR-powered product visualization, gesture-based navigation, and even emotional analytics in contact centers. Every interaction mode, when enabled by AI, becomes a potential brand differentiator.
CX in 2026: Rethinking Trust, Transparency, and Loyalty
Agentic AIs will reward brands that are both transparent and verifiable. In the near future, trust becomes algorithmic. Loyalty won’t arise from points or perks — it will depend on how consistently your brand’s data aligns with user values and AI parameters.
Consider payment ecosystems — a field NMI knows deeply. With more than 4,000 technology partners and over $440 billion processed annually, NMI’s modular payment acceptance platform powers seamless experiences across industries. This scale offers a glimpse into the next era of commerce integration. By embedding secure, flexible payments into every experience layer — software, platforms, and edge environments — NMI is helping enterprises prepare for the moment when transactions happen instantly, invisibly, and intelligently.
As Peter Galvin’s career demonstrates, bridging marketing innovation with technology infrastructure is becoming essential. His experiences leading growth at companies like Entrust, Proofpoint, and nCipher underscore how strategic control over data, privacy, and identity enables trust — the new currency in AI-mediated interactions.
CX in 2026: CX Design for AI-First Interactions
To thrive in an agentic AI world, brands must treat AI systems as both customers and collaborators. Three CX design imperatives emerge:
- Structured Consistency:
Ensure product, pricing, and service data is consistent across all touchpoints. Agentic AIs will quickly detect discrepancies and deprioritize unreliable sources. - Explainable Choices:
Transparent reasoning — why this product suits a user’s preferences — boosts an AI’s confidence in your offers. This mirrors how humans interpret brand integrity. - API-First Accessibility:
Enable AI assistants to engage directly with your ecosystem through open APIs. Accessibility becomes the foundation of frictionless discoverability.
When applied effectively, these principles convert brand integrity into machine-readable trust signals. The new CX frontier is where human creativity meets algorithmic clarity.
Case in Point: Embedded Payments as a CX Differentiator
Payment experiences historically sat at the end of the journey. Today, they’re central to CX strategy. Consumers expect payments to be secure yet invisible — seamlessly integrated into digital experiences.
NMI’s modular, white-label platform exemplifies this shift. By giving SaaS platforms, ISOs, PayFacs, and banks control and flexibility, NMI transforms payments into a growth enabler rather than a cost center. From no-code payment portals to deep API integrations, it allows partners to design intuitive commerce experiences while handling compliance, risk monitoring, and onboarding — letting businesses focus on what matters most: their customers.
Such infrastructure lays the groundwork for agentic AI adoption. When AIs perform autonomous purchasing, embedded payments ensure brands remain part of the transaction ecosystem — secure, frictionless, and trustworthy.
CX Leadership in the Age of Intelligent Agents
The emergence of agentic AI challenges legacy CX metrics. Traditional KPIs like click-through rates, dwell time, or conversion funnels may no longer reflect customer satisfaction. Instead, new measures such as AI preference share, agentic engagement rate, and discoverability index could define success.
Forward-thinking CX leaders should focus on three strategic priorities:
- AI-readiness: Train CX, data, and marketing teams to understand how agentic AI filters, interprets, and chooses information.
- Collaborative ecosystems: Form alliances across industry data networks to ensure your brand’s data surfaces in AI-curated contexts.
- Continuous trust calibration: Monitor your brand’s algorithmic visibility and ethical reputation across agent-mediated channels.
These priorities demand collaboration between CX strategists, data architects, and business technologists. The scars of siloed CX will become even more visible when AI agents fail to understand or trust fragmented brand information.
Humanizing the Algorithmic Future
Despite all the automation, the future of CX remains fundamentally human. Agentic AIs will amplify empathy, not replace it — provided organizations train them on ethically grounded, emotionally intelligent frameworks. The brands that codify empathy into design, governance, and AI logic will win the loyalty of both consumers and their digital agents.
For executives like Peter Galvin, whose global experience spans security, cloud, and enterprise innovation, the message is clear: CX transformation is no longer a marketing challenge — it’s a strategic operational shift built on intelligence and integrity.
Actionable Takeaways for CX Professionals
As we stand at the threshold of 2026, CX leaders can prepare by adopting the following best practices:
- Design for Discoverability:
Optimize for AI readers, not just human users. Ensure your content, metadata, and APIs align with new discovery models. - Train for Ethical AI Collaboration:
Build governance structures that define how your brand’s values guide AI interactions and purchasing logic. - Embed Payments and Trust Layers:
Partner with embedded payment platforms like NMI to deliver seamless, secure experiences that future AIs can confidently engage with. - Start Measuring AI Interaction Metrics:
Define new KPIs to track how often and how effectively your brand is chosen or recommended by AI agents. - Invest in Multimodal CX Innovation:
Prepare for engagement beyond text and screen. Voice, gesture, and augmented interfaces are now integral to the customer journey.
The CX Horizon: Intelligent, Inclusive, Invisible
CX evolution has always been about understanding what customers need before they articulate it. With agentic AI and multimodal interaction, that anticipation becomes instantaneous. The winners of tomorrow will not be those with the loudest marketing campaigns, but the brands AI trusts most — those that embody transparency, deliver consistently, and integrate empathy into every data point.
As we move closer to 2026, the opportunity is immense. The boundaries between customer, machine, and experience are dissolving, creating an era not just of digital transformation, but of agentic collaboration — where human intent and AI intelligence converge to redefine what meaningful customer experience truly means.
About the Expert Contributor
Peter Galvin serves as Chief Growth Officer at NMI, a leader in embedded payments processing over $440 billion annually for 4,000+ partners. With 20 years in global tech, he previously led as CMO at Entrust and Proofpoint, and CSMO at nCipher. Passionate about innovation, skiing, travel, cooking, and family, Peter bridges enterprise strategy with customer-centric growth. This article features his exclusive insights on agentic AI’s CX impact.
