The Role of AI Agents in 2026

2026-07-10 · Source: The AI Journal · Field: Business & Management — Operations & Process Management, Project & Product Management, E-commerce & Digital Commerce · Depth: Intermediate, short

Summary

Agentic AI is significantly transforming customer experience (CX) by enabling AI to plan and act autonomously, contributing to improved UK consumer satisfaction. Gartner predicts that by 2029, 80% of customer interactions will be resolved without human involvement, though much is already automated. Its value lies in orchestrating seamless collaboration across the entire customer journey: gathering context before interactions, providing real-time assistance and executing back-office tasks during conversations (especially with Customer Data Platform insights), and dramatically reducing post-interaction administrative burdens. Agentic AI also enables sophisticated end-to-end self-service and proactive customer outreach. Human agents remain critical, with 42% of CX professionals believing so, and Gartner anticipating an EU "right to talk to a human" mandate by 2028. Successful deployment requires measured approaches and clear ROI assessment, as over 40% of agentic AI projects are predicted to be canceled by late 2027 due to lack of demonstrated return.

Key takeaway

For Directors of AI/ML evaluating CX automation, prioritize agentic AI deployments where baseline performance metrics are established to clearly assess ROI. Focus on integrating agentic AI across the entire customer journey, from pre-interaction context gathering to post-interaction task automation, while ensuring human agents remain central for complex or sensitive cases. Be mindful of potential regulatory mandates like the EU's "right to talk to a human" by 2028.

Key insights

Agentic AI autonomously plans and acts to orchestrate seamless customer journeys, automating tasks while keeping humans in the loop.

Principles

• Agentic AI excels when deployed early in customer interactions.
• Human agents remain central despite increasing automation.
• ROI is critical for agentic AI project success.

Method

Agentic AI gathers context, assesses urgency, routes interactions, recommends actions, and automates post-contact tasks across the customer journey.

In practice

• Automate password resets and status updates with AI agents.
• Use AI agents for real-time human agent assistance.
• Implement AI-enabled Quality Management for 100% interaction scoring.

Topics

• Agentic AI
• Customer Experience
• Contact Center Automation
• Customer Data Platforms
• AI Agents
• Operational Efficiency
• ROI Measurement

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, Consultant, Operations Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.