How CX teams use AI to accelerate impact across the customer journey

Customer behavior has fundamentally changed in the past decade

In 2010, brands influenced the majority of the customer journey. By 2020, that influence had already begun to shrink. Today, with the rise of generative AI, social platforms, and digital ecosystems, only a small fraction of the journey happens within your direct control.

But customers haven’t disappeared. They’ve diversified, which creates both a challenge and an opportunity for CX professionals.

You haven't lost control—you just have to make the most of your moments in the customer journey.

AI: Threat or transformation?

There’s a common narrative that AI is here to replace roles in marketing and CX. The reality is more nuanced—and far more optimistic.

AI doesn’t replace expertise. It enhances it.

• It removes manual effort

• It accelerates analysis of massive data sets

• It surfaces insights that were previously inaccessible

What used to take months, large budgets, and specialized teams can now be done in minutes by the people closest to the problem.

This is especially critical in CX, where teams often have a lot of responsibility but limited visibility with fragmented data from siloed channels.

The real problem: You can’t see the full journey

Most teams today have strong analytics within their own channels. You can track things like website behavior, campaign performance, and CRM activity. You even have some insight into the referral sources that led customers to a brand interaction.

But if those brand-controlled touchpoints represent as little as 10% of the overall journey, the biggest blind spot remains:

What happens before and after a customer interacts with your brand?

• What are they doing with competitors?

• What questions are they asking AI tools?

• What influences their decisions upstream and downstream?

Without this context, even the best optimization efforts happen in isolation.

A new approach: AI-powered journey intelligence

Journey Insight was built to answer a simple but critical question: What if you could see the entire journey—not just your part of it?

Our agentic AI is custom-built for CX and marketing teams to perform deep analysis of customer journeys in a natural, question-and-answer flow.

By analyzing billions of digital interactions from millions of anonymous, permissioned users, it provides a market-wide view of customer behavior.

A real example: Investigating churn in personal banking

To illustrate this, let's explore a common challenge with a real-world example in Journey Insight.

Imagine you're a CX practitioner for Citi experiencing churn. You've been asked to prepare a proposal for a journey management investment to address the issue.

Your goal: Understand why customers might disengage—and where the biggest opportunities exist to improve retention.

Explore the interactive use case

AI that works the way you do

The real power comes from how accessible this analysis is. With AI-driven tools like Insight Copilot, you can follow the same process—starting with a broad question, uncovering patterns, and drilling into the signals that matter most.

• Ask natural language questions

• Get immediate, data-backed answers

• Iterate quickly as new questions emerge

No PII or security risk. No integrations to your systems. No SQL. No dashboards to build. No waiting.

Just question → insight → action.

What was once a six-figure research project becomes an everyday workflow.

The AI era of CX transformation

The role of AI in CX isn’t just about efficiency. It’s about raising the standard for how decisions are made.

When teams can see the full journey, understand how customers move across the market, and access answers quickly, the conversation changes. Prioritization becomes clearer. Trade-offs become easier. And actions are grounded in evidence, not assumption.

That’s especially important as customer behavior continues to evolve. Journeys are becoming more fragmented, more competitive, and more influenced by external factors. The teams that adapt will be the ones that move beyond isolated metrics and start operating with a complete view of the journey.