Gartner’s 2025 Customer Service AI Use-Case Assessment — Our Take for Forward-Thinking Leaders
Gartner’s Customer Service AI matrix helps contact centre leaders focus on “Likely Wins”, consider “Calculated Risks”, and defer “Marginal Gains”—empowering smart, value-driven AI adoption. Learn more here and at Gartner.
Introduction: Why Gartner’s Matrix Matters for Contact Centre AI Strategy
In the ever-accelerating world of customer service technology, few names carry as much authority as Gartner. Their latest Customer Service AI Use-Case Assessment is both timely and practical, providing contact centre executives with a clear, structured way to evaluate which AI use cases deliver real value, which may require calculated risks, and which offer only incremental gains in today’s landscape.
This article translates Gartner’s findings into practical considerations for decision-makers, highlighting what to prioritise, where to experiment, and how to turn AI trends into operational wins.
Decoding Gartner’s AI Use-Case Assessment
Gartner classifies customer service AI use cases across three smart categories—each reflecting a unique balance of value and real-world feasibility:
1. Likely Wins: High Value, High Feasibility
These are the AI applications you can (and should) bet on right now. They deliver tangible benefits, are mature enough for production, and offer fast returns for contact centres:
Join us on this exciting journey as we explore the world of Human-Centric AI in CX, Contact Centres & BPOs.
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