When it comes to modern customer experience, traditional chatbots are no longer enough. Leading enterprise CX organizations are moving beyond single AI assistants and deploying a coordinated team of agentic AI specialists—autonomous agents designed to proactively optimize outcomes in real time across the entire customer journey.

In this informative guide, you’ll discover 7 powerful AI agents purpose-built to solve the most critical CX challenges enterprises face today—from personalized purchase recommendations to proactive service resolution and post-purchase engagement.

A new report from MIT Technology Review Insights, “The connected customer,” explores how leading organisations shift from AI potential to CX impact. Learn more about how to use the latest AI innovations to amplify human expertise and automate intelligently.

From improving customer satisfaction to empowering frontline contact centre agents, the report makes one thing clear: the future of CX lies in building an intelligent, connected system that brings people and technology together to deliver better service outcomes.

Google Cloud unveiled Gemini Enterprise for Customer Experience (CX), an agentic solution designed to bring shopping and customer service together on a single intelligent interface for businesses, including retailers and restaurants. The solution introduces new prebuilt and configurable agents that are developed using Google’s latest Gemini models and can be quickly deployed in days. With Gemini Enterprise for CX, businesses can manage agents across the entire customer lifecycle, from initial product discovery to post-purchase resolution.

AI-powered personalization for marketers who know one-size-fits-all doesn’t drive results. This ebook explores how marketing leaders use AI to deliver personalized experiences that feel timely, relevant and surprisingly human. The focus is not on chasing every new tool, but on knowing where AI adds value and where it doesn’t.

What you’ll learn:

How to build the right data foundation to power relevant customer experiences

Retailers can no longer win over consumers with product and price alone. More than half (52 percent) of consumers from PwC’s 2025 Customer Experience Survey said they stopped using or buying from a brand after they had a bad experience with its products or services. It’s not just a consumer problem. The same report showed 70 percent of executives think customer expectations are a moving target, changing faster than their company can keep pace.

Nearly every SaaS product is either integrating AI or planning to do so. However, the term “AI” has become so broad that it’s often misunderstood, especially by non-technical founders. Words like “chatbot,” “AI assistant,” and “agent” get used interchangeably, even though they represent very different capabilities.

That confusion can lead to misaligned features, wasted development time, and missed opportunities for automation or personalization.

In today’s market, customer experience isn’t just a brand pillar, it is the brand. Each moment is a referendum on trust, and customers often vote with their wallets. In PwC’s 2025 Customer Experience Survey, more than half of consumers (52%) say they stopped using or buying from a brand because they had a bad experience with its products or services, while nearly a third (29%) stopped due to poor customer experience, either online or in-person.

Unified commerce is a modern retail strategy that integrates all sales channels and back-end systems into a single, cohesive platform. In practice, this means combining everything from online storefronts and mobile apps to physical-store point-of-sale (POS) systems, inventory management and customer relationship management (CRM) tools under one roof. All customer, product and inventory data is stored in one system and updated in real time, giving businesses a 360° view of operations without juggling multiple disconnected applications. By eliminating siloed systems, companies create a single source of truth for transactions and customer interactions. The result is smoother operations and faster decision-making, since every team, from sales to marketing, works from the same live dataset.