Adobe launches AI tools for customer experience transformation

OpEd: Mar-tech isn’t the silver bullet we’ve been sold. Yes, data pipelines are cleaner. Yes, AI can automate touchpoints at scale. But has the customer experience actually gotten better? Or does it feel colder, more scripted, and less human than ever? The real unlock isn’t another automation layer—it’s people. • Staffed customer service with humans who actually solve problems • Real end-user product experts who evangelize from experience, not scripts • Honest conversations that can’t be templated by ChatGPT or automated workflows Technology can scale, but only people can build trust. The brands that win the next decade will stop chasing “perfect personalization” through mar-tech and start reinvesting in authenticity. So, what’s your bet: more AI logic, or more human connection? #AutomationIsNotExperience #HumansOverBots #TrustAtScale https://lnkd.in/g9bCB9Q4

We’re entering a new era where most online traffic will be driven not by humans, but by AI agents. Instead of typing into search engines, users increasingly rely on LLMs as their primary interface for discovery. The question isn’t “How do we rank on Google?” anymore. It’s: “How do we stay relevant in a world where agents filter the internet?” Here are three shifts to focus on: 1 - Autonomous Workflows: AI agents managing the full content cycle: planning, creation, and distribution. 2 - Adaptive Personalization: Content that evolves in real time to fit agent-driven recommendations. 3 - Agent-Centric Optimization: Ensuring content is agent-readable, trustworthy, and contextually useful. At Adobe, our Professional Services team helps organizations navigate this shift, designing content strategies built for the agentic era. If you’re exploring how to stay visible and relevant when AI agents drive discovery, let’s talk. #Adobe #ACS #AdobeProfessionalServices #agenticAI #Digital #Consulting https://lnkd.in/dc4P9-SM

Adobe’s AI Agents: The beginning of multi-agent AI in the enterprise? This week, Adobe announced the general availability of AI Agents within the Adobe Experience Platform. These aren’t just chatbots. They’re specialized agents like: - Audience Agent for segmenting and scaling customer groups, - Journey Agent for orchestrating customer touchpoints, - Experimentation Agent for analyzing and optimizing outcomes, - Site Optimization Agent for monitoring performance. Together, these are orchestrated by the Agent Orchestrator -giving us a glimpse of what Agentic AI looks like in the enterprise. Here’s where it gets interesting 👇 When you look at this system, it touches the edges of a multi-agent system (MAS): - Different agents have specialized roles. - They share context and results through a central orchestrator. - They coordinate to achieve broader business outcomes. This isn’t a classical research MAS where independent agents negotiate or compete, but it’s a practical enterprise version of the idea. This marks the beginning of how MAS + LLMs will expand into the real world. Instead of one “super assistant,” we’ll see ecosystems of smaller, specialized agents - each excellent at its job - working together to deliver results at scale. Adobe’s release shows that this isn’t a far-off research topic anymore. It’s starting to shape how businesses operate today. #AgenticAI #MultiAgentSystems #ArtificialIntelligence #LLM #Adobe #Innovation #FutureOfWork #DataEngineering #TechTrends

You can enhance your go-to-market (GTM) strategy by automating customer journey mapping with AI, which streamlines the process of understanding and addressing customer needs. This automated approach allows you to gather insights rapidly, improving...

Adobe launches new AI agents via the Adobe Experience Platform Adobe has made generally available a suite of AI agents (Audience Agent, Journey Agent, Data Insights Agent, etc.) under its Experience Platform to help with customer experience, journey design, forecasting, etc. Takeaway: These tools are making it easier for brands to automate & scale personalized customer experiences. Marketers should think about how to incorporate AI agents into their workflows now. https://lnkd.in/dQH5nTUq

Dovetail unveils AI-powered customer intelligence platform to turn feedback into real-time insights, prototypes, and actionable product decisions. Read the Latest Full News - https://lnkd.in/gxxh8cD2 #AI #CustomerIntelligence #ProductDevelopment #CX #Automation #Martech #MartechEdge

We need to stop talking about "customer service" and start talking about "customer intelligence." The old model is broken. Waiting on hold, explaining your issue to three different agents, getting generic, scripted answers—that's the fast track to customer churn. The bar for a good experience has been raised, and AI is the force raising it. The future of customer experience (CX) isn't about being reactive; it's about being proactive, predictive, and deeply personal. It's about an AI that anticipates your needs based on your behavior. It's about a support agent who instantly has the full context of your journey. It's about receiving an offer so relevant it feels like the company read your mind. This is no longer a futuristic dream. It's being built right now, and the foundation for this revolution is a powerful, unified data and AI platform. This is where Google Cloud is leading the charge. By connecting vast data streams in BigQuery with the intelligence of Vertex AI and Contact Center AI, Google Cloud provides the end-to-end toolkit for enterprises to transform their CX. It enables businesses to move from simply resolving issues to creating intelligent, seamless, and valuable interactions at every single touchpoint. The companies that master this will not just win customers; they will build lifelong advocates. There's a fantastic article on the Google Cloud Transform site that digs into how AI is fundamentally reshaping the customer journey. It's a must-read for any leader thinking about true differentiation. Check it out here: https://lnkd.in/e5E5KQYp What's the one thing you wish companies would use AI to fix in their customer experience? #CustomerExperience #AI #GoogleCloud #DigitalTransformation #CX #VertexAI #Innovation #GCP #FutureOfBusiness #DataAnalytics

Medallia integrates with Adobe AI Agents to boost customer experience intelligence and personalization in marketing campaigns - https://lnkd.in/gGq5YPrw “This partnership with Adobe will give businesses the unprecedented ability to act on what customers want by combining the power of intelligent agents with Medallia’s deep experience insights," said Mark Bishof, CEO at Medallia. #AIAgents #CustomerExperience #AdobePartnership #ExperienceIntelligence #Personalization #TechIntelPro

#TheAIAgentsDigest – Making you the best-informed person in the room on AI Agents 📢 Big news in AI: Adobe just unveiled AI agents designed to revolutionize customer experience management. These agents promise smarter personalization, faster workflows, and data-driven insights—reshaping how businesses engage with customers. With CX being a multi-billion-dollar industry, Adobe’s move highlights the massive opportunity AI agents bring to enterprises. 👉 Swipe through to see why this matters Read the full story here ➡️ https://lnkd.in/g3ekrSQy #AIagents #Adobe #AgenticAI #FutureOfWork #CustomerExperience #CXInnovation #AItrends

GenAI & Customer Experience: Closing the Relevance Gap How is your organization using GenAI to make customer experiences more relevant — not just personalized? Let’s be honest — customers don’t want personalization anymore. They expect relevance — instant, contextual, human-like engagement that feels effortless. This is where Generative AI (GenAI) is quietly reshaping the future of customer experience (CX). 💡 The “Relevance Gap” Problem Every business collects tons of customer data — yet most interactions still feel generic. Marketing emails that miss the intent. Support bots that don’t “get” the question. Sales messages that lack timing and context. That’s the relevance gap: the space between what a customer expects and what your system actually delivers. How GenAI is Changing the Game Generative AI isn’t just automating responses — it’s understanding context, intent, and emotional tone. Here’s how leading companies are closing that gap: 1️⃣ Adaptive Marketing – GenAI models learn from behavior in real time to craft campaigns that evolve with every interaction. 2️⃣ AI-Powered CX Copilots – Customer support agents now use copilots that summarize, predict intent, and suggest empathetic replies. 3️⃣ Smart Journey Orchestration – Systems are combining GenAI + Data to deliver dynamic experiences — no two customer journeys look the same. It’s not just “personalization.” It’s precision relevance — powered by learning systems that continuously adapt. 🌐 The Future of CX The next generation of customer experience will be context-aware, emotionally intelligent, and continuously learning. Chatbots are evolving into relationship copilots — agents that understand not just what you say, but why you say it. Businesses that harness this shift will turn every customer touchpoint into a moment of loyalty. If you had to rate your CX Relevance Quotient today (out of 10), what would you give it? #GenAI #CustomerExperience #AI #DigitalTransformation #CustomerEngagement #CXInnovation #AITransformation