From My Work With CX Leaders: Three Shifts Defining 2026

2026-05-18 · Source: Featured Blogs - Forrester · Field: Business & Management — Corporate Strategy & Leadership, Operations & Process Management · Depth: Intermediate, quick

Summary

Customer Experience (CX) is evolving significantly within North American financial services firms, transitioning from a siloed function to an enterprise-scale operation. This shift, observed in 2026, involves CX teams integrating into core business rhythms for strategy, planning, and execution, moving beyond standalone projects. The focus is also changing from merely tracking scores to demonstrating tangible business outcomes like growth, retention, and reduced service costs. Furthermore, CX leaders are moving from simply being "AI aware" to becoming "AI ready," actively operationalizing AI to reshape design, workforce models, and the fundamental role of CX itself. This indicates a profession becoming more accountable and embedded, driven by business-minded leadership.

Key takeaway

For AI Product Managers developing CX solutions, recognize that the market demands enterprise-scale, outcome-focused, and AI-ready capabilities. Your product roadmaps should prioritize features that enable deep integration with core business processes, demonstrate clear ROI in terms of growth or cost reduction, and offer practical AI operationalization rather than just awareness. Focus on solutions that help CX teams prove their impact directly.

Key insights

CX is transforming into an outcome-driven, AI-integrated, enterprise-wide function within financial services.

Principles

• Integrate CX into core business operations.
• Prioritize outcomes over mere scores.
• Operationalize AI in CX, don't just explore it.

In practice

• Tie CX initiatives to growth and retention metrics.
• Implement AI tools for CX design and workforce models.

Topics

• Enterprise CX
• Outcome-Driven CX
• AI Operationalization
• CX Strategy
• Financial Services

Best for: AI Product Manager, Executive, Consultant, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.