Apifonica Global

We were looking for meanings in communications at GCCM Middle East 2025 in Muscat, Oman. Ali Deeb and Pavel Tikhonov were our .

Apifonica Global heroes shared at 2025 how to properly integrate conversational AI agents and leverage their efficiency in automating customer communication processes.

Apifonica is not a magic button that makes everything work good — it is a product of AI thoughtful integration into communication processes.

An excellent solution for those who need to hire fast and at scale:

✅ farms
✅ tourism
✅ retail

At RIGA COMM, Apifonica’s CEO shared real cases of how companies cut hiring time, save costs, and keep candidates engaged using AI in HR.

https://youtu.be/7tc5c9QuYXE

Mass hiring is brutal — but in is finally changing that. For years, recruiters spent weeks buried in résumés, calls, and scheduling. Seasonal peaks made it worse: thousands of roles to fill, zero time to do it.

AI is reshaping the process:

✅ Automation: parsing CVs, updating systems.
✅ Conversational AI: speaks with candidates and recruiters, outreach messages, and summaries at scale.
✅ Agentic AI: an AI recruiter that screens, schedules, and manages workflows almost like a teammate.

More on how artificial intelligence in HR is transforming seasonal hiring here:

https://www.apifonica.com/en/blog/ai-in-hr-cutting-seasonal-hiring-costs-with-ai-recruiters/

Someone please tell Marc Benioff from Salesforce that Apifonica Globala Global is here to help 😅

Salesforce recently admitted what many businesses know too well: millions of calls went unanswered. That’s millions of missed opportunities.

Now they’re turning to . At Apifonica, we’ve been doing this for years — deploying conversational AI agents that don’t just answer calls, but increase conversion, speed up response times, and improve customer experience across industries.

The problem is real.
The solution is proven.
And it’s already here.



https://www.apifonica.com/en/blog/ai-call-center-customer-service-automation/

AI debt collection automation in Mexico showed how the debt recovery process can be completely reimagined. One of our clients faced a familiar challenge: overdue accounts were piling up, and human agents couldn’t keep pace. By integrating AI agents into the workflow, the company redesigned the entire process. Instead of wasting operator time on repetitive, high-volume calls, AI handled the routine efficiently and without fatigue. This allowed people to step in only where empathy and negotiation skills were truly needed. The result was a more balanced approach: automation provided scale and consistency, while human agents focused on complex cases. The case proved that AI debt collection automation is not only about efficiency, but also about delivering a new level of customer experience.



https://www.apifonica.com/en/blog/ai-debt-collection-automation-mexico/

-driven mass hiring is gaining momentum — and it’s worth remembering how draining this process can be for everyone involved. At its core, hiring is about people, yet too often it turns into endless checklists and routines.

Every interaction shapes how candidates perceive a company, which is why Apifonica Global AI HR Assistants are stepping in to support both recruiters and employees, making communication faster, clearer, and more human.

https://www.apifonica.com/en/blog/ai-in-hiring-bulk-and-mass-recruitment-faster-smarter-more-human-by-apifonica/

Sarkor Telecom transformed its customer service by building an AI call center that handles peak loads, reduces wait times, and improves CRM data accuracy. And while at it, the AI agents even helped the Sarkor's HR team scout for new hires.

https://www.apifonica.com/en/blog/ai-call-center-success-story-sarkor-telecom-transformation-with-ai-agents/

Everyone says hashtag will change the world. Massachusetts Institute of Technology just found that 95% of companies didn’t even change their revenue. Maybe the problem isn’t “dumb AI,” but how we use it? We dig into why — and what to do differently.

https://www.linkedin.com/pulse/mit-study-ai-adoption-didnt-improve-financial-results-0hd9f

First in Efficiency: Uzbekistan’s Largest Telecom Adopts AI Call Centre Principles – Shorter Queues, Higher Sales

While others scratch their heads and drown in myths and dogmas, Sarkor Telecom is racing at the speed of light, embracing innovation – and winning!

Sarkor’s call centre now operates with just 40 staff, enabling the company to eliminate its third shift. handles routine enquiries, freeing the lines for truly important conversations. The call centre can process up to 1,200 calls per day, but during service outages, the load used to spike sharply – for example, up to 17,000 calls – which previously led to lengthy wait times. To tackle this, engineers developed call-routing scenarios that direct such calls into a separate queue for AI handling, significantly reducing the burden on human agents.

These days, it is no longer common to inform customers of their waiting time; yet, the contact centre has managed to reduce it from 2min. 20s. to 40–60 seconds by prioritising call flows through AI.

The introduction of this technology has not resulted in redundancies – staff are reassigned to other roles within the company, while those who remain become even more skilled through working with AI, increasing their value on the job market.

The AI agents also discipline related processes: for example, the accuracy of CRM data has quadrupled, which has been one of the factors behind a twofold increase in conversion to service sales.

Start with our latest Sarkor Telecom AI Call Centre success story video:

https://www.youtube.com/watch?v=jCm3Fnme5Q8

How AI Agents Cut Queues and Boosted Sales: Sarkor Telecom AI Call Centre Success Story While others scratch their heads and drown in myths and dogmas, SARKOR—the largest telecom in Uzbekistan is racing at the speed of light, embracing innovatio...