What’s inside

Eight chapters. Real data. Practical framework.

Built from current evidence across Gartner, Forrester and Metrigy — written for CX leaders who need to make decisions, not read think-pieces.

Chapter 1

The State of AI in Customer Service

What the evidence actually shows — cutting through the marketing noise with current research.

Chapter 2

Why Human-Only Contact Centres Are Broken

The economics, the outcomes, and why the status quo isn’t sustainable for most operations.

Chapter 3

What Good AI Deployment Looks Like

The principles that separate serious deployments from demos — and how to spot the difference.

Chapter 4

How StableLogic’s AI Contact Centre Agent Delivers

Agentic AI that resolves issues end to end — not just deflects them.

Chapter 5

The Six CX Outcomes That Matter

A framework for measuring what moves the needle — for customers, for agents, and for the P&L.

Chapter 6

Governance, Safety and Trust

What enterprise buyers must address — data, explainability, safeguarding, and the EU AI Act.

Chapter 7

The Insight Advantage

Why an AI-led contact centre produces better customer and operational insight than any dashboard.

Chapter 8

Why StableLogic

30+ years of contact centre expertise, AWS Advanced Partner, and governance-first delivery.

The numbers behind the AI contact centre shift

14%
Traditional self-service resolves only 14% of issues (Gartner).
80%
of customers who’ve interacted with AI-powered service report positive experiences.
30–45%
Annual contact centre agent turnover — a structural cost of human-only operations.
75–80%
Target automation rate: 75–80% of contacts handled end to end.
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Published March 2026

Based on current evidence from Gartner, Forrester, Metrigy and other primary sources.

Written by StableLogic

30+ years of contact centre and CX expertise. AWS Advanced Partner. ISO 27001 certified.

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