Customers contact support or service centers for various issues on their products or services. Most of these issues do not need a human-to-human conversation, and yet this is how it is.
By taking on the predictable, repetitive issues—billing queries, password resets, order enquiries, product registrations, refund status checks, account updates—our well-trained, AI-supported application can gently understand the issue, analyze the problem, evaluate the
Looking at our data across the last 3 years and having supported hundreds of enterprises, we believe at least 50% (often closer to 65%) of classical customer support queries don’t need human interaction.
By systematically assessing why customers contact their provider (in this case us), we can reduce human-to-human conversation time in at least two out of three interactions where experience suffers from unnecessary or (what we term) sub-optimal human intervention.
More critically, however, we can now assign our most experienced human experts to engage deeply with customers throughout the remainder of their journey, thereby building the necessary human connection. This creates capacity for more personalized service to high-value or less tech-savvy customers.
What is the net effect of this shift in the mix of human resources and AI? We eliminate friction in the customer journey that once caused frustration (lengthy verification, repeating information, etc.). But interestingly, total interaction times actually go up, not down. Our work in direct-to-consumer support engagements shows we now spend 15–20% more engagement time with customers than before—without raising costs for enterprises. Even better, these interactions create more satisfied customers who become advocates for the products they love.
To make this shift real, we believe the scorecard must change. Average handle time—be it call, chat, or email—is no longer the right hero metric. Instead, we suggest measuring how effectively support predicts and resolves customer needs before they become problems, as well as how much contact time increases to ensure complex cases are solved correctly the first time. These reflect what customers actually want: speed for the simple, care for the complex, and fewer reasons to contact us at all.
This is the model we’re building at #Quantanite—where overall demand to contact is radically lower, and when customers do reach out, they receive the time, context, and expertise they deserve, powered by AI and human judgment.
