artificial intelligence customer experience management
PR Newswire
Published on : Jun 9, 2026
As marketing leaders look beyond experimentation and toward practical applications of artificial intelligence, industry events are increasingly becoming venues for showcasing how AI can improve customer engagement, content operations, and marketing efficiency. At Gartner Marketing Symposium/Xpo 2026 in Denver, digital consulting and technology services provider Reply is presenting its latest perspective on AI-driven customer experiences, connected marketing ecosystems, and automated content operations designed to help organizations scale personalization and streamline execution.
Artificial intelligence continues to reshape how brands engage customers, manage digital experiences, and execute marketing campaigns. While much of the conversation around AI has focused on generative technologies and automation tools, enterprise marketing teams are increasingly evaluating how AI can be embedded across the entire customer experience lifecycle.
Against this backdrop, Reply is participating in Gartner Marketing Symposium/Xpo 2026, where its specialists from Sagepath Reply and Comwrap Reply are showcasing approaches that combine AI, customer data, and digital experience platforms to improve marketing performance and operational effectiveness.
The event, which brings together chief marketing officers, digital leaders, and customer experience executives, has become an important forum for discussing how organizations are adapting to rapidly changing consumer behaviors and emerging AI-powered engagement channels.
A key theme of Reply's presence at the conference is what the company describes as AI-mediated customer engagement. The concept reflects a growing shift in how consumers discover products, interact with brands, and access information.
Traditionally, customer journeys have been measured through websites, search engines, social media platforms, and owned digital properties. However, the rise of AI assistants, conversational interfaces, and generative search experiences is creating new touchpoints that sit between brands and customers.
For marketing organizations, this transition introduces new challenges around visibility, attribution, customer influence, and performance measurement. As AI-powered interfaces become increasingly involved in information discovery, marketers are reassessing how customer journeys are designed and optimized.
Another area of focus is the emergence of omnimodal customer experiences. Unlike traditional omnichannel strategies that emphasize consistency across channels, omnimodal approaches seek to create adaptive, context-aware interactions that respond dynamically to customer needs, device preferences, and engagement patterns.
This requires tighter integration between customer data platforms, marketing automation systems, content management platforms, analytics tools, and experience delivery technologies.
The trend aligns with broader developments across enterprise technology ecosystems led by companies such as Adobe, Salesforce, Microsoft, and Google, all of which are investing heavily in AI-enhanced customer engagement capabilities.
Perhaps the most notable aspect of Reply's presentation is its focus on AI-powered experience supply chains. The concept extends automation beyond content creation and into the broader process of planning, producing, managing, distributing, and optimizing marketing assets.
According to industry analysts, content operations have become one of the biggest bottlenecks facing enterprise marketing teams. Gartner research has repeatedly highlighted that marketers are under pressure to deliver more personalized experiences across a growing number of channels while maintaining efficiency and governance standards.
AI-powered experience supply chains aim to address this challenge by automating repetitive tasks, standardizing workflows, and enabling continuous optimization across campaign lifecycles. The result is a more scalable approach to content production and distribution that can reduce time-to-market while improving personalization efforts.
To demonstrate these capabilities, Reply is hosting an interactive activation at the event that illustrates how a single content asset can be transformed and adapted for multiple formats and channels through agentic AI workflows.
The demonstration leverages Adobe technologies to orchestrate content creation, asset management, and delivery across connected marketing environments. The approach reflects growing interest in agentic AI systems, which can autonomously execute multi-step tasks across enterprise workflows while maintaining alignment with business objectives.
Beyond showcasing technology concepts, Reply's presence at the event also highlights its experience delivering digital transformation initiatives across multiple industries.
The company points to projects including a redesigned website for Oppenheimer, recognized as a Kentico Website of the Year 2025 winner in the financial services category, a unified partner portal for Georgia-Pacific Recycling, and digital experience initiatives supporting customer engagement for Lamar Advertising.
These projects illustrate how customer experience modernization increasingly requires the convergence of content operations, marketing technology, customer data management, and AI-enabled workflow automation.
The company's participation also follows recent industry recognition, including Optimizely's 2025 North America Solution Partner of the Year award and Adobe CXO Partner of the Year recognition in Western Europe.
For enterprise marketing leaders attending Gartner Marketing Symposium/Xpo, the broader takeaway may be less about individual technologies and more about operational transformation. As AI capabilities mature, organizations are shifting attention from isolated experimentation toward scalable systems that connect customer engagement, content operations, and business outcomes.
The conversation is increasingly moving beyond whether AI should be adopted and toward how organizations can build the infrastructure, workflows, and governance frameworks required to operationalize AI across the marketing function.
The customer experience and marketing technology sectors are entering a new phase of AI adoption focused on operational execution rather than experimentation. Key market trends include:
According to Gartner and IDC, organizations are increasingly prioritizing AI investments that improve productivity, customer engagement, and marketing efficiency while delivering measurable business outcomes.
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