Balancing Human and AI in Contact Centers
- Asma Asad
- Jun 24
- 2 min read
Customer care leaders are at a crossroads. AI offers major benefits—cutting costs, boosting speed and personalization, and easing agent churn. But cultural and real-world hurdles mean automation must be balanced with the human touch that customers still value.
Based on McKinsey research and expert insights, this summary explores the two forces shaping customer care: AI’s growing power and the enduring need for human agents.
The Surge of AI
AI is transforming customer care:
Virtual assistants handle repetitive tasks like payment inquiries and order updates, freeing agents for complex cases.
AI draws from knowledge bases to deliver personalized responses, cutting wait times and raising satisfaction.
One energy company cut billing calls by 20% and reduced authentication time by 60 seconds using AI.
Gen AI adds more power:
Summarizes interactions, reducing After Call Work
Supports live translation and 24/7 replies
Offloads repetitive work, easing burnout
Powers training simulations, cutting onboarding time by 20–30%
The Enduring Value of Human Contact
Despite AI’s rise, people remain critical in complex or emotional interactions.
71% of Gen Z and 94% of baby boomers prefer live calls.
In industries like telecom and healthcare, human contact builds trust and loyalty.
Two Future Scenarios
1. Slow AI Adoption – Humans Stay Central
AI adoption may remain slow due to:
Legacy system challenges
Real-time voice complexity
Preference for empathy and clarity
Personal AI assistants increasing demand for business engagement
2. Fast AI Adoption – AI Leads the Way
Some expect a faster shift:
Customers are growing more comfortable with AI
50–60% of calls are transactional—ideal for AI
Agentic AI can manage entire workflows
Per-call costs drop by 50%, even as volumes rise
To reach this future, companies must:
Fix data quality and system integration
Navigate cybersecurity and regulations
Help customers embrace AI channels
The Path to a Hybrid Future
Set bold, customer-centered AI goals tied to real pain points
Treat AI as a transformation—beyond IT
Upskill agents to be empathetic, AI-savvy advisors
Use AI to enhance—not replace—human empathy
Stay ahead of evolving compliance needs

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