Stop Asking and Start Solving with AI for Proactive CX - with Vasili Triant of UJET (20 min)
- Release date: 2026-01-19
- Listen on Spotify: Open episode
- Episode description:
Today's guest is Vasili Triant, CEO of UJET. UJET is a next-generation cloud contact center platform leveraging AI to modernize customer experiences. Vasili joins Emerj Editorial Director Matthew DeMello to unpack the shift from reactive customer service to proactive, data-driven engagement — and why the transition matters for enterprises rethinking the role of their contact centers. The conversation also explores how fragmented data stacks hinder real-time decision-making, why proactive service improves lifetime customer value, and what enterprises can change today to build contact centers that operate more like strategic customer hubs than cost centers. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by UJET.
Summary
- 🚀 Proactive Over Reactive: Shifting contact centers to anticipate customer needs via AI boosts retention and lifetime value, countering the draining reactive model.
- 📊 Unify Data Silos: Fragmented stacks block real-time insights; integrating data enables AI for accurate, proactive engagement across journeys.
- 🤝 Augment, Don’t Replace: AI simplifies agent workflows by eliminating swivel chairs, enhancing human empathy and judgment rather than automating humans away.
- 👑 Leadership Drives Change: VPs of contact centers and chief customer officers must prioritize outcomes over AI hype to transform service into revenue hubs.
- 💰 Revenue, Not Cost Center: Proactive service matches sales personalization, turning contact centers into strategic assets for ARPU growth and loyalty.
Insights
Why do consumers now demand proactive customer service that matches the real-time personalization of sales ads?
Time: 4:08 – 5:53
Category: AI in Everyday LifeAnswer: Consumers experience breadcrumb tracking in sales via targeted ads on platforms like Facebook and Instagram, creating expectations for similar proactive outreach in service to prevent frustration and churn after purchase. This shift leverages AI to anticipate needs, mirroring sales tactics to maintain engagement. (Start at 4:08)
How can reimagining contact centers as revenue drivers unlock greater customer lifetime value?
Time: 7:14 – 8:36
Category: AI-Driven Innovation Economy, AI in Workforce DisruptionAnswer: Traditional views treat contact centers as costs, but proactive AI-enabled service retains loyal customers who buy more, far outweighing acquisition costs. Maintaining trust through personalized, empathetic interactions boosts ARPU and NPS. (Start at 7:14)
Why do fragmented data silos prevent real-time AI insights for proactive customer engagement?
Time: 9:27 – 10:59
Category: AI-Driven Innovation EconomyAnswer: Enterprise tech stacks create isolated silos, making it impossible to synchronize customer journey data in real-time for predictive service. Unifying data across systems is essential for AI to enable faster resolutions and anticipation of needs. (Start at 9:27)
Why is leadership from contact center VPs more critical than AI tech for customer experience transformation?
Time: 12:03 – 13:12
Category: AI in Workforce DisruptionAnswer: AI is just one stack component; executives like VPs or chief customer officers decide implementation to align tools with business outcomes. Without their vision, AI hype fails to address core issues like siloed tools. (Start at 12:03)
How do ‘swivel chair’ workflows sabotage agents, and what role does AI play in fixing them?
Time: 13:34 – 15:18
Category: AI in Workforce Disruption, AI-Driven Innovation EconomyAnswer: Agents juggle multiple monitors and slow apps across silos, delaying responses; AI unifies data into single views for real-time, context-rich interactions. This empowers humans rather than replacing them, varying by industry needs like urgency in airlines vs. banking. (Start at 13:34)
Is AI a full replacement for human empathy in customer service, or merely ‘glasses’ to enhance it?
Time: 15:24 – 16:24
Category: AI in Workforce DisruptionAnswer: Hype suggests AI outperforms humans in empathy via copilots, but advanced use shows AI provides context (e.g., birthdays, history) for agents to make nuanced judgments on upselling and trust-building. Humans deliver the emotional connection AI can’t replicate alone. (Start at 15:24)