Self-service is no longer simply about deflecting contacts, it is becoming the foundation of the customer service experience. AI is fundamentally changing what customers can expect from it.
New CCW Digital research reveals that organizations expect the share of customers beginning in self-service will rise to 77% by 2030, while the share of those interactions fully resolved through self-service is expected to increase to 74%.
At the same time, 71% of organizations believe that more than half of the inquiries currently handled by humans could already be resolved through self-service given the right capabilities.
So what is holding that potential back, and what will it take to unlock it?
In this analyst chat, Brian Cantor, Managing Director of CMP Channels and Brooke Lynch, Lead Analyst and Divisional Director of CCW Digital, explore how AI is moving self-service beyond basic automation toward a more intelligent model of customer engagement.
They will also discuss:
AI pilots are everywhere, but customer experience isn't improving at the same pace. The problem isn't too little AI. It's disconnected AI agents, employees, data, journeys, and systems. Customers feel that fragmentation before the business ever sees it in a dashboard.
Metrigy Research finds that organizations with connected, enterprise-wide AI achieve nearly 80% greater improvement, on average, across key business metrics than those pursuing standalone initiatives.
Leave with a practical framework for identifying where disconnected intelligence is holding CX back and where connecting it will create the greatest customer and business value.
Customers no longer separate a "good" experience from a "digital" one. They expect the same accuracy, memory and follow-through whether they're on the phone, in a chat window, or talking to a person. The real shift underway in customer care isn't automation replacing people. It's a Total Experience, where human and digital interactions are held to the same standard, and where the AI behind the digital side keeps improving instead of freezing the day it goes live.
Customer expectations have quietly reset. "Fast and friendly" used to be enough. Now customers expect immediate, always-on access, zero repetition across channels, and increasingly, that the work just gets done on their behalf. They also expect every part of a business, service, success, and sales, to all feel like one continuous, memory-aware system instead of separate silos. Most AI agents were built to meet the old bar. Few are built for the new one.
On March 26, 2026, the FCC voted to advance a Notice of Proposed Rulemaking (NPRM) with the potential to enact major changes in contact center operations.
The idea of AI-powered self-service is incredibly customer-centric: enable customers to access instant support on their own terms.
AI is reshaping service, but modernization isn't just about automation. This session explores what customers expect from a modern experience, how trust and security shape adoption, where friction still breaks the journey, and why voice remains critical. We'll also examine how language and comprehension gaps affect CX, and what it takes to create more consistent experiences across channels.
Closing the AI value gap takes more than adding another AI point solution. Individual tools may improve isolated interactions, but when they operate across disconnected systems, they cannot consistently retain context, coordinate workflows, or carry a customer issue through to resolution. Delivering better service requires a connected platform designed around the full customer journey, bringing conversation, context, action, and escalation together to produce the outcome the customer needs.
Every contact center is chasing the same metrics, while the ground underneath those metrics is shifting. Customers don't care how many systems sit behind an interaction; they care whether their problem actually gets solved.