General
Thought Leadership
How to Design a Modern Support Model for an AI-First World
AI now resolves a substantial share of customer interactions. Gartner has consistently reported that automation and AI handle the majority of routine service requests, fundamentally changing the role of human agents.
Forrester and McKinsey both emphasize that the remaining human interactions are more complex, emotional, and high-impact - requiring judgment and empathy rather than speed alone. This shift makes traditional volume-based staffing models increasingly inefficient.
This article explores how organizations are redesigning support models to reflect the emerging 80/20 reality.
Key considerations explored in this article include:
Why human support work is becoming more specialized
Designing support for quality over volume
Aligning cost, flexibility, and customer trust
Supporting research:
Gartner, Customer Service AI and Automation Research
https://www.gartner.com/en/customer-service-support/researchForrester, The Future of Customer Service
https://www.forrester.com/customer-service/McKinsey Digital, AI in Operations and Service
https://www.mckinsey.com/capabilities/quantumblack/our-insights
Recommended next step: Elastic Support Model Self-Assessment
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