Operationalizing Customer Service at Scale with Outcome-Driven Agentic AI - with Craig Walker of Dialpad (35 min)
- Release date: 2026-03-09
- Listen on Spotify: Open episode
- Episode description:
Customer service leaders face rising pressure to resolve more interactions faster, while maintaining high-quality experiences — and many legacy systems and processes can't keep up. In this episode, Craig Walker, CEO of Dialpad, joins Daniel Faggella, Emerj CEO and Head of Research, to break down how AI can augment human agents to handle routine requests like order status and password resets, freeing teams to focus on complex issues. He shares actionable strategies for enterprise leaders, from cleaning knowledge bases and analyzing ticket patterns to running controlled pilots and scaling AI agents across the organization. Craig also explains how AI can coach agents in real time and surface insights for managers, creating a continuously improving support system that drives measurable ROI. This episode is sponsored by Dialpad. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1 Want to share your AI adoption story with executive peers? Click emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!
Summary
- 🚧 Overcome Past Failures: Early chatbots frustrated users by blocking humans; agentic AI now enables seamless handoffs and real value.
- 🔍 Prepare Data Foundations: Clean knowledge bases and tag calls via skill mining to ensure accurate AI learning and avoid errors.
- 🚀 Start Small with POCs: Pilot simple, high-volume tasks like order status to prove ROI quickly without full disruption.
- 📈 Augment Humans with Coaching: Real-time guidance, alerts, and personalized plans elevate agents and supervisors for better CSAT.
- ⏰ Act with Urgency: Delay risks competitive disadvantage; unified platforms enable swift adoption for superior experiences.
Insights
Why did early AI chatbots fail in customer service, and how is agentic AI changing that?
Time: 2:02 – 3:33
Category: AI in Workforce DisruptionAnswer: Previous AI efforts created frustrating experiences by blocking access to humans, leading to low satisfaction. Now, agentic AI delivers real value at scale with seamless human handoffs, evolving beyond hype to practical benefits. (Start at 2:02)
How can leaders shift mindsets to make AI a true augmentor of human agents?
Time: 4:22 – 5:44
Category: AI in Workforce DisruptionAnswer: The key is viewing AI as excelling at repeatable routine tasks while handing off nuanced issues to humans, rather than full replacement. This builds trust through proven better experiences and continuous improvement. (Start at 4:22)
What’s the fastest way to prove AI’s ROI in customer support?
Time: 11:07 – 11:33
Category: AI-Driven Innovation EconomyAnswer: Start with a POC using just 5 agents on simple tasks, demonstrating higher productivity via skill mining and simulations against past human calls. This quickly builds confidence without disrupting operations. (Start at 11:07)
What data foundations must companies prepare for successful AI deployment?
Time: 11:38 – 16:31
Category: AI Bias & FairnessAnswer: Clean, up-to-date knowledge bases and tagged past calls for skill mining are essential to avoid errors from outdated info. Analyze ticket types to target high-volume routines first, enabling self-improving feedback loops. (Start at 11:38)
Which tasks make the best beachhead for AI in customer service?
Time: 18:15 – 20:38
Category: AI in Everyday LifeAnswer: Target high-volume, low-complexity interactions like password resets or order status checks that require minimal agent training. Use ticket analysis to prioritize, proving value early before expanding to nuanced skills. (Start at 18:15)
How does AI supercharge human agents beyond automation?
Time: 21:52 – 25:17
Category: AI in Workforce DisruptionAnswer: AI provides real-time coaching, knowledge retrieval, supervisor alerts, and personalized improvement plans with scorecards. This shifts from manual metrics to actionable insights, boosting CSAT and efficiency for agents and managers alike. (Start at 21:52)
Why must enterprises adopt AI in customer service now, without delay?
Time: 27:26 – 28:32
Category: AI-Driven Innovation EconomyAnswer: Competitors adopting AI will deliver faster, superior experiences, making laggards obsolete; unlike past shifts, waiting even a year risks job loss and market share. Unified platforms simplify transitions over patchwork integrations. (Start at 27:26)
What unified future awaits customer support with pervasive AI?
Time: 29:21 – 30:34
Category: AI in Everyday LifeAnswer: A single intelligent line handles sales, support, HR via seamless AI, making fragmented IVR systems obsolete. Customers will choose AI-savvy businesses, mirroring Wi-Fi as a must-have differentiator by 2026. (Start at 29:21)