AI Agents and Voice AI: How Artificial Intelligence Is Transforming Sales and Customer Support

Call centers are among the most expensive and, at the same time, most important customer touchpoints. Every call costs the company approximately EUR 3 to 15. Every excessively long waiting queue means a lost opportunity - and often a lost customer as well. Today, artificial intelligence offers a solution that, just a few years ago, was practically out of reach: AI agents that can speak, understand, and independently resolve inquiries - 24 hours a day, 7 days a week.

In this guide, you will learn how AI agents and Voice AI work, why Kinetara - FrodX’s conversational AI platform - is at the forefront of this shift, and how companies in the region are already achieving measurable savings and higher customer satisfaction today.

An AI agent is a software agent that communicates with customers in natural language - in writing or by voice - while carrying out specific tasks. Modern AI agents, based on large language models (LLMs), understand the context of a conversation, ask clarifying questions, and perform actions: checking order status, booking an appointment, opening a request, or completing a transaction.

The difference between a “first-generation” chatbot and a modern AI agent becomes obvious as soon as the conversation moves beyond predefined questions. Chatbots were tied to rules and decision trees; AI agents are generative: they understand different phrasings, maintain the thread of the conversation, and adapt to the situation.

Key components of an AI agent:

• Natural language understanding (NLU): identifying intent and key information.

• Response generation (LLM): natural, contextual responses in the user’s language.

• Integration with backend systems: CRM, ERP, knowledge bases, ticketing.

• Orchestration: managing multiple steps and handing over to a human at the right time.

Voice AI brings conversational intelligence to the phone channel. Voice agents understand speech in real time (speech-to-text), process requests, and respond with natural-sounding voices (text-to-speech).

When implemented well, the experience is seamless - without awkward pauses or the feeling of speaking to a machine.

Voice AI does not replace teams. It augments them. Routine inquiries are handled by AI, while complex cases are routed to human agents - complete with summaries and context.

Common use cases:

• Inbound calls: handling multiple conversations simultaneously.
• Outbound campaigns: reminders and confirmations.
• Bookings: scheduling, changes, cancellations.
• Customer support: order status, returns, complaints.
• Lead qualification: initial screening and routing to sales.

Kinetara is a conversational AI platform developed for mid-sized and large companies in our region. Its key advantage is localization for Slovenian, Croatian, and English - where global solutions often remain merely “good enough,” Kinetara is designed for use in real business processes.

Kinetara does not require replacing your existing infrastructure. It works as an upgrade on top of the systems you already use (CRM, ERP, contact center, telephony) and adds AI capabilities where they create the greatest impact. A typical implementation of a voice agent for an inbound call center takes approximately 6–10 weeks.

Why Kinetara:

• Multilingual support: Slovenian, Croatian, and English (out of the box).

• No forced system replacement: an upgrade to existing systems without “rip-and-replace.”

• Integrations: HubSpot, Salesforce, SAP, and other systems through standard APIs.

• Brand adaptation: the agent’s voice, tone, and “personality.”

• Visibility and control: a dashboard with insight into conversations, sentiment, and resolution rate.

Companies most often introduce Kinetara where there is the most repetition and the greatest pressure on response time.

In sales, the voice agent handles the first contact, collects basic information, and qualifies the inquiry according to agreed criteria. When the lead is “warm,” it hands it over to the sales team at the right time - together with a summary of the conversation. The result is more relevant conversations and less time spent on cold contacts.

In customer support, the agent resolves a large share of standard inquiries without human intervention. When it encounters an exception or a complex case, it escalates with context, so the conversation does not return to the beginning.

In reservations (healthcare, services, hospitality), Voice AI enables 24/7 booking, reduces no-shows with reminders, and improves capacity utilization.

An AI agent without integration is often just a compelling demo. Real value emerges when it connects to your systems and gains context: who is calling, what they purchased, which issues are open, and what was agreed previously.

This leads to faster, more relevant, and highly personalized interactions.

Kinetara integrates via standard APIs with most CRM and CDP platforms (e.g., HubSpot, Salesforce, SAP, Emarsys), as well as ticketing systems and contact center solutions when needed.

With Voice AI, success is measured quite directly because it affects handling cost and availability. The most commonly tracked metrics are: cost per call, first contact resolution rate (FCR), average handling time (AHT), NPS, and the share of calls the agent resolves without escalation.

Typical effects of implementing Voice AI with Kinetara include a 40–65% reduction in cost per call, a 15–25% improvement in FCR, shorter AHT, and an increase in NPS by 10–20 points within six months. Kinetara’s dashboard enables real-time metric tracking and faster optimization.

1. Process analysis: which inquiries are the most common and most repetitive?

2. Defining use cases: inbound support, outbound notifications, or hybrid?

3. Integration: CRM, ticketing, telephony, knowledge bases.

4. Content preparation: responses, rules, scenarios, and limitations.

5. Testing and fine-tuning: simulations, shadow mode, human review.

6. Gradual rollout: first 10–20% of traffic, then expansion.

7. Monitoring and optimization: regular quality reviews and updates.

 Companies that are implementing AI agents today are generally not “replacing” teams. They hand routine work over to technology and direct people where they create the most value: complex cases, relationship-building, and situations that require judgment and empathy. Kinetara and FrodX are partners in that shift - from the first use case to stable production.