Conversational Artificial Intelligence for enterprises

Outbound telephone campaigns—covering collections, reminders, surveys, confirmations, or notifications—have existed for decades. What has changed is not the call itself, but rather who makes the decisions surrounding it. Today, artificial intelligence does more than just converse; it also determines when to call, within what timeframes, and using which parameters. In this article, we explain the difference between an automatic dialer and an AI-driven campaign, as well as what it means to operate in assisted or autonomous mode.

Froneus has obtained ISO 9001 certification, the international standard for quality management. This achievement reinforces our commitment to the continuous improvement of our processes and to delivering products and services that meet high quality standards.

For years, calling a company meant listening to a menu of options and pressing numbers until reaching the right department. Conversational artificial intelligence has changed that dynamic: today, a virtual agent can listen to what a caller says, understand their needs, and resolve the issue during the same call. In this article, we explain the differences between an intelligent agent and a traditional IVR, the types of tasks they can handle, and what to consider before automating telephone customer service.

At Froneus, we have initiated the process of implementing ISO 27001, the international standard for information security management. This step complements our ISO 9001 certification and reinforces our commitment to protecting the data of our clients and their end-users.

Artificial intelligence (AI) has become one of the most influential technologies of our time. From virtual assistants and recommendation systems to content generation tools and data analysis, AI is redefining the way we work, learn and interact with technology. In this article we explore what artificial intelligence is, how it works, its main applications, benefits, challenges and the trends that will shape its future.

In most contact centers, quality is measured by listening to a handful of calls per agent each month. This represents a tiny sample of thousands of conversations—one that is costly to produce and difficult to sustain. Automated audio analysis using artificial intelligence—or speech analytics—changes that equation: it allows for the evaluation of all interactions and transforms them into actionable insights. In this article, we review how it works, what can be measured, and how this translates into decision-making.