Agentic Mesh for CX: Automating End-to-End Customer Experience Management
Description
This IDC Perspective provides insights on agentic mesh for CX addressing the scoping and specification processes, among other aspects. An agentic mesh for CX can enable seamless, scalable, end-to-end customer experience management by automating processes across customer-facing systems. Establishing robust standards, interoperability, and risk management is crucial for deploying task-based agents and transitioning to autonomous CX ecosystems for personalization and efficiency."An agentic mesh is required to transform CX by automating seamless, real-time interactions across customer-facing workflows, enabling all customer-facing functions in the business to act as one brand," said Gerry Murray, research director, Enterprise Marketing Apps and Agents.
Table of Contents
49 Pages
Executive Snapshot
Situation Overview
95% of AI Projects Are Set Up to Fail
What Is an Agentic Mesh for CX?
Delivering Agentic Customer Experiences
Agent Adoption, Proliferation, and Scope
Agentic CX Maturity Model
Infrastructure for Agentic Automation
Agents by Function
Supervisory Agents by CX Function
Examples of Supervisory Agents for Advertising
Examples of Supervisory Agents for Marketing
Examples of Supervisory Agents for Sales
Examples of Supervisory Agents for Digital Commerce
Examples of Supervisory Agents for Content Production and Management
Examples of Supervisory Agents for Finance
Examples of Supervisory Agents for B2C Fulfillment
Examples of Supervisory Agents for B2B Service Delivery
Examples of Supervisory Agents for Customer Support
Examples of Supervisory Agents for Field Service
Examples of Supervisory Agents for Loyalty
Examples of Supervisory Agents for Customer Data Management
Advice for the Technology Buyer
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