AI in customer service? No, thanks... if it's single. We paired it up

AI and customer service. Artificial Intelligence in customer service is a massive leap forward, but it has a flaw: if you leave it alone, sooner or later it comes back at you like a boomerang. 

EITHER YOU MANAGE IT, OR IT MANAGES YOU.

That's why we chose a clear path, tested in the field: pairing an AI agent with our girls. Not a battle between robots and people, but a true partnership. AI stops being a loose cannon and becomes... the tireless colleague we all wish we had.

In our Hybrid Model, the AI Agent isn't a futuristic promise, but an assistant that, especially at the beginning, takes on the most repetitive parts of the job - standard questions, simple requests, basic information, ticket triage - and, thanks to our answers and real cases, continuously learns and expands what it can handle autonomously over time. 

We aren't talking theory, but results observed in projects we've already put into production, where more predictable volumes are automated, freeing operators from “autopilot” so they can return to what they do best: listening, understanding, solving.​

From this experience came our strongest conclusion: the real revolution isn't choosing between AI or people, but building a Hybrid Model where both agents work together, each at their absolute best. 

The AI agent is fast, tireless, always online in its “Domain of Knowledge”.

The human agent is empathetic, creative, capable of interpreting nuances no FAQ can capture, governing the “Domain of Consciousness”.

And we can provide you with all of this!

AI and customer service operators: how they interact 

But how does it work in practice?

AI is the First Level: it welcomes the customer, understands the request, searches for the answer in the knowledge base and, when it can, closes the ticket on its own. Meanwhile, it classifies, enriches data, notes the context, and lays the groundwork for any human intervention, avoiding useless repetitions and endless waiting.

When the situation gets complicated, delicate, or simply ambiguous, the Second Level steps in. 

The human agent takes over with all the information already on the table: chronology, customer's tone, actions already taken with the AI. They don't have to 'start from scratch' and can focus on what really matters: finding a solution, managing emotions, proposing alternatives, transforming a problem into a positive experience. 

Human-in-the-Loop to improve Voice & Web's Artificial Intelligence performance

This collaboration generates a beautiful side effect: 

every human intervention becomes a learning opportunity for the AI. Corrections are integrated into the knowledge base, exceptions become newly manageable cases, paths are refined. 

As a result, the perceived quality by the customer naturally grows, because truly important cases don't get bottlenecked in the traffic of minor requests, arriving faster to those who can actually take care of them.

Managing volumes to improve Customer Care Service management.

Another firm point we drew from experience concerns volumes: it makes no sense to build a galaxy of disconnected micro-AI modules that fragment tickets and complicate management. Real savings are achieved when automation handles significant volumes of requests, covering most repetitive flows and integrating with tools and channels already in use.

 Fewer 'scattered pieces', more process consistency, more control, and an economic impact you can genuinely see on total volumes.

The result?

A customer service that doesn't just 'answer', but hits the track every day with a tight-knit pair: a digital brain paired with a human head and smile.

Article by Simona Di Iorio, Commercial Assistant for Voice & Web.

Voice & Web's sphere of activity ranges from Customer Care Services, to Customer Satisfaction, Customer Relationship Management (CRM), and the facilitation and orientation of the Customer in eCommerce activities and processes, to improve the user experience.