Blog Post

It’s 10 AM. There are 300 calls in queue. The average wait time has exceeded 8 minutes. Three agents called in sick. And the scheduling system is still a shared Excel spreadsheet that nobody updates on time.

This scene plays out daily in contact centers across Latin America — and increasingly, around the world. Not because talent or commitment is lacking. But because the operation is built on an architecture that was never designed to scale: people answering the same questions, over and over, without real technological support.

BPOs, banks, and telecommunications companies feel it in their NPS scores, in their agent turnover rates, and in their ballooning operational costs. The question is no longer whether they need to transform. The question is how to do it without making costly mistakes.

The Numbers Don’t Lie: AI in Customer Service Is Already Here

• Gartner projects that by 2026, 75% of organizations will have adopted conversational AI in their customer service operations.
• McKinsey shows intelligent automation can reduce operational costs by 25% to 35%.
• IBM reports voicebots can resolve up to 80% of routine inquiries without human intervention.
• Salesforce found 77% of agents say automation lets them focus on higher-value tasks.

The Real Pain Points

1. Scalability Limited by Human Capital

Hiring and onboarding agents takes months. When volume spikes, there’s no flexible capacity — only overwhelmed agents and frustrated customers.

2. No Real Omnichannel Experience

Voice, WhatsApp, email — all separate silos. Customers repeat themselves every time they switch channels.

3. Zero Emotional Visibility

No systematic way to detect escalating frustration in real time before it becomes a crisis.

4. Manual Documentation

Agents spend minutes per call on summaries instead of serving the next customer.

5. Inefficient Routing

Customers transferred three times before reaching the right agent — context lost every step of the way.

How AI + Amazon Connect Solve These Pain Points

At VELAIO, we implement solutions on Amazon Connect — combining power, flexibility, and speed for enterprise contact centers.

• Real-time transcription — every conversation captured automatically, no manual summaries.
• Sentiment analysis — detects frustration live and alerts supervisors to intervene.
• Intelligent routing — right agent, right context, first time.
• True omnichannel — context follows the customer across voice, WhatsApp, and chat.
• Deterministic flows — zero-error precision for medical, financial, and compliance processes.

Real Case: Medical Appointment Voicebot on Amazon Connect

Patient calls or messages via WhatsApp requesting an appointment.

Voicebot identifies the required medical specialty.

Requests patient ID number for verification.

Queries real-time availability in the electronic health records system.

Schedules the appointment and confirms date/time.

Sends automatic WhatsApp reminders.

Transfers complex cases to human staff with full context pre-loaded.

Result: Significant reduction in routine calls handled by humans, more capacity for complex cases, better patient experience.

The Warning: AI Without Strategy Fails

Cell First, a telecom company, aggressively automated its contact center, eliminating most human agents. Result: customers trapped in dead-end voice loops, satisfaction scores collapsed, and the company had to reverse course at great cost.

AI is not 100% accurate. Extreme automation without a hybrid model is expensive — in money and reputation.

The Intelligent Hybrid Model: VELAIO’s Vision

AI handles volume, self-service, and repetitive tasks. Humans resolve complex, sensitive, and emotionally nuanced situations. Amazon Connect orchestrates the entire operation.

With 16+ years and 500+ experts, VELAIO builds solutions that scale without sacrificing the human touch.

Ready to see it in action? Schedule a demo with the VELAIO team and discover how to transform your contact center operations.