You're Paying $10 for 50-Cent Interactions
Most contact centers are built around an assumption so embedded it rarely gets questioned.
Humans handle the work.
It made sense when humans were the only option. They no longer are.
The average human agent costs $6 to $10 per interaction. A conversational AI agent handles the same routine request for under 50 cents. That gap is not a technology story. It's an operations story. And most contact centers are paying the premium without asking why.
Here's what that cost is actually buying.
Status checks. Simple updates. Basic troubleshooting. Routine requests. High-volume, low-complexity work that doesn't require human judgment, handled by people trained, managed, and paid to exercise it. Skilled agents spending their shift on work that could resolve itself before it ever reaches the queue.
That's not an efficiency problem. It's a structural one.
As volume grows, cost grows with it. More agents. More training. More overhead. The math is straightforward and unsustainable. Hiring more people doesn't fix the structure. It compounds it.
Meanwhile, customers with complex issues wait longer. The agents capable of handling them are occupied. The operation gets bigger. Not better. You continue to miss.
Matching the right resource to the right work is not about cutting corners. It's about running the operation deliberately.
When routine interactions are resolved before they reach the queue, the operation changes. Agents focus on work that requires judgment. Response times improve. Cost per contact drops. Headcount growth stops tracking directly with volume.
Customers don't want a human agent. They want their problem resolved. How it gets resolved is irrelevant if the outcome is right.
Scala gives operators the tools to design and deploy conversational AI agents across voice, chat, and messaging without relying on engineering. Agents built on business logic, brand standards, and real operational context. Deployed in hours, not weeks.
The result is coverage that scales. Capacity directed where it actually matters.
Learn more with a Scala Demo
