Why Your CX Team’s Insights Aren’t Making It To Leadership (And How to Fix It)

Most organizations have talented CX teams armed with the latest AI tools—ChatGPT, Copilot, the works. They’re producing insights daily.

But those insights rarely reach leadership. And when they do, executives can’t trust them enough to act on them.

In this webinar, James Cuthbertson (CRO, Relative Insight) walks through a real case study of a large utility that faced exactly this problem: brilliant analysis, zero board-level impact. Learn what changed—and how to apply it to your organization.

The problem

You have a smart insights and analytics team. They have access to advanced AI tools. They’re producing analysis and reports daily.

But here’s what’s happening:

• The tooling is wrong. AI is powerful, but it’s not always auditable, repeatable, or aligned with what leadership actually needs.

• Insights are unauditable. Because they’re built on LLMs or manual processes, they’re hard to recreate and hard to verify. Leadership can’t trust them enough to include them in board reporting.

• Analysis effort is wasted. Your team works hard, but their insights never move the needle because they don’t reach the people who make decisions.

• Executives are starved of information. Without trusted insights, leadership can’t think critically about how to improve CX—or delight customers—or drive financial impact.

Use case

Non-determinism in AI isn’t a flaw to be patched in the next model update. It’s a fundamental characteristic of how large language models work.

For teams whose job is to turn data into deA major utility had the exact setup: talented insights team, best-in-class AI tools, strong understanding of customer behavior.

They were producing reports weekly. Beautiful, insightful, thorough.

• The problem: The team lead couldn’t confidently pass those insights to executives. Why? Because the analysis was hard to prove, hard to recreate, and hard to audit. Leadership didn’t trust the source.

• Result: Insights never made it to board meetings. Executives couldn’t make critical decisions about improving customer experience. The organization missed opportunities.

• What changed: When they moved to a repeatable, auditable process, the same analysis was produced in the same way every time. It was trustworthy. It was verifiable. By the first weekly report, those insights started reaching executives.Leadership now had the information to make critical decisions about serving customers better—and protecting the bottom line.

What you’ll learn

• • Why AI Insights Don’t Automatically Mean Board-Ready Reporting: Understand the gap between producing insights and producing ones that leadership will actually trust and act on
  
  
  • The Problem With Unauditable Analysis: See how LLMs and manual analysis create blind spots that prevent executives from making critical decisions about improving CX
  
  
  • How Repeatable Playbooks Drive Action: Discover how standardized, trustworthy analysis transforms insight into strategy—and ultimately into business results
  
  
  • The Real Cost of Insights That Don’t Reach Leadership: Learn why organizations starve executives of critical decision-making data, and what that costs you
  
  
  • From Team-Level Effort to Executive Impact: See how one large utility moved from producing analysis to producing actionable, trusted reporting that changes how leadership approaches CX

Who should watch this webinar?

This is for anyone who has ever presented an AI-generated insight — and felt a flicker of doubt about whether they could stand behind it:

• Heads and VPs of CX or Customer Insights who need their analysis to hold up under scrutiny from operations, finance, or the executive team
• Insights and analytics managers whose teams are using GenAI tools to process customer or market data and sharing those outputs with senior stakeholders
• VoC program leads responsible for consistent, repeatable signals that track performance across time
• Research leaders who’ve been asked to embed AI into their workflows — and are now asking the right question: which outputs can we actually trust?

If you’ve ever been challenged on how you reached a finding — or worried you might be — this webinar is for you.