AI is fundamentally changing the customer experience, connecting insight to action across the entire journey.
Sydney Scott
Editorial Strategist, AI
Workday
Customer experience is one of the clearest ways organizations differentiate themselves. And now, artificial intelligence (AI) is raising the bar for how those experiences are built and delivered.
IBM reports that 62% of executives believe generative AI will fundamentally reshape customer experience design, with personalization at the heart of that shift.
But the real promise of AI in customer experience goes beyond any one use case. It’s the power to connect signals across the entire customer journey, and turn them into smarter decisions at every touchpoint.
Sixty-two percent of executives say generative AI will fundamentally reshape how they design customer experiences.
Report
AI in customer experience is the use of AI tools, such as AI agents and LLMs, to personalize and improve the customer journey. What was once an emerging technology is already an essential part of customer experience strategy.
PwC reports that nearly nine in ten organizations have already implemented AI in customer-facing functions, including AI customer service and marketing. That momentum is expanding what companies can learn from every interaction—and how quickly they can put those insights to work. Companies are using AI to:
Personalize recommendations, offers, and communications based on customer preferences and behavior
Anticipate customer needs earlier and identify opportunities for proactive outreach
Power intelligent self-service experiences that resolve routine questions faster
Give customer service teams real-time guidance and relevant customer context during interactions
Analyze customer interactions and feedback to uncover trends, recurring issues, and opportunities to improve
Together, these applications signal a broader shift in customer experience. Information that once stayed within individual interactions, channels, or teams can now help shape how companies engage customers, support employees, and make better decisions across the business.
AI-driven customer experiences extend far beyond chatbots and automation. Organizations are using AI to better understand customer behavior, equip employees with real-time insights, and make faster, more informed decisions across customer-facing functions.
Six of the top ways AI is enhancing the customer experience are:
Customers expect interactions to reflect their needs, preferences, and history. Generic recommendations or requests for information they’ve already shared can quickly create friction.
AI helps companies analyze customer data and use the insights to tailor experiences in ways that feel more relevant and timely, such as:
Recommending products, services, or content based on behavior
Tailoring offers and communications to customer preferences
Adapting personalized interactions as needs change over time
By applying personalization across the journey, companies create experiences that feel more connected and responsive at scale.
There are usually early warning signs before a customer reaches out. A decline in product usage, repeated visits to help content, missed onboarding milestones, or rising support requests. AI can help teams identify those patterns and act sooner by:
Flagging accounts that may need attention
Recommending timely resources or outreach
Helping prevent small issues from becoming larger problems
With earlier insight, teams can provide more proactive support and strengthen the customer relationship before frustration builds.
Customers expect each interaction to build on the last, no matter which team or channel they use.
Customer journeys often span marketing, sales, service, and account management. Yet customers expect each interaction to build on the last, no matter which team or channel they use.
AI can help connect information across the journey so teams can:
Carry customer context from one interaction to the next
Use service issues to inform future outreach
Reduce the need for customers to repeat information
That continuity helps companies deliver a more consistent experience across touchpoints while making each interaction feel more informed.
Employees make better decisions when they have the right information at the right time. But customer details are often spread across CRM systems, support platforms, knowledge bases, and other tools.
AI can bring that context together by helping employees:
Summarize previous conversations
Surface unresolved issues
Recommend relevant knowledge articles or next steps
This kind of human-AI collaboration helps employees spend less time searching across systems and more time focusing on customer conversations, so they can respond with greater speed and confidence.
Customer demand can rise quickly during product launches, seasonal peaks, or service disruptions. When support teams are stretched, speed and quality can suffer.
AI helps organizations manage fluctuating demand by:
Answering routine questions
Routing requests to the right team
Prioritizing high-impact cases
Gathering information before an employee joins the conversation
That allows employees to focus on complex issues where human judgment matters most, helping organizations maintain fast, consistent service.
Every customer conversation contains signals about what is working, where friction exists, and what customers need next. But as feedback grows across calls, emails, surveys, chats, and support cases, handling large data volumes becomes difficult to manage manually.
AI-driven sentiment analysis can help organizations:
Identify recurring customer pain points
Track changes in sentiment
Spot emerging issues across large volumes of interactions
Those insights can inform product, service, and journey improvements, helping organizations address recurring problems before they affect more customers.
Used well, AI creates a cycle of continuous improvement, where each interaction becomes a chance to learn and improve.
Customer experience is shaped by every interaction a person has with an organization. To improve it, companies need to see those moments as part of a connected journey, understand needs as they emerge, and give employees the context to respond with confidence.
AI makes that possible at scale. It helps organizations turn signals across the customer journey into more personal, timely experiences, faster resolutions, and better decisions across the business.
Used well, AI creates a cycle of continuous improvement, where each interaction becomes a chance to learn and improve. With human judgment and empathy still central where they matter most, companies can create experiences that feel more relevant, responsive, and valuable.
A remarkable 82% of organizations are already using AI agents. But is your team ready? Read our report to learn how 3,000 global leaders are maximizing human potential with AI.
Report
A gap between effort and impact is the real ROI problem. Discover the solution.