What are AI agents and what are they for?

In a world where immediacy and efficiency in communication are essential, many companies still face challenges such as manual call handling, lack of follow-up in customer interactions and missed business opportunities.

This is where AI Agents are making a difference. These intelligent solutions make it possible to automate processes, improve customer service and optimize telecommunications for businesses ranging from small SMEs to large corporations.

In this article, we will explain what AI Agents in telecommunications are, their different types, how they can help improve productivity and how in Glofera can help you implement them in your business in a simple and effective way.

What are AI Agents?

AI Agents are intelligent systems designed to observe their environment and make decisions autonomously using advanced artificial intelligence algorithms. Unlike conversational tools such as ChatGPT, these programs do not rely on direct interaction with a user, but are programmed to perform specific tasks in an automated manner.

Its operation is based on the collection and analysis of data in real time to interpret situations and act without human intervention.

In the case of AI agents designed to improve a company’s communications, they have the ability to:

  • Interpret voice and text commands in real time.

  • Automate responses and manage interactions without human intervention.

  • Integrate with CRMs and business management systems.

  • Analyze calls and conversations to extract valuable information.

  • Improve security in business communications.

AI Agents work by combining machine learning models, natural language processing (NLP) and task automation, making them key tools for the digital transformation of enterprises.

What are AI Agents for in your company’s telecommunications?

The implementation of AI Agents in telecommunications offers key benefits such as:

  • Time and resource optimization: Automation of repetitive tasks so that teams can focus on strategic activities.

  • Improved decision making: Real-time data analysis to identify opportunities and problems in communication.

  • More efficient customer service: Immediate responses, personalization and 24/7 availability.

  • Reduction of operating costs: Minimization of the need for human intervention in telephone customer service and customer management.

Examples of AI agents to improve sales and customer service

1. Automated call and message handling

AI agents can answer calls and messages autonomously, without the need for human intervention. Through chatbots and virtual assistants, they can resolve frequent queries, provide information about products and services, and guide customers through simple processes, thus reducing the workload of the human team.

Example:

A chatbot on WhatsApp that answers questions about opening hours, product availability or company location.

2. Appointment, reservation and order management

Many businesses rely on appointment coordination or order management. AI agents can automate these processes, allowing customers to book services, place orders or modify appointments without the need to call or wait for a response from a human.

Example:

An AI assistant in a doctor’s office that allows patients to automatically book, modify or cancel appointments.

3. Intelligent call routing

AI-based interactive voice response (IVR) systems can automatically route calls to the appropriate department without the need for manual intervention, reducing wait times and improving the customer experience.

Example:

A customer calls a company and, instead of going through multiple menu options, the AI system identifies their need and connects them directly to the right agent.

4. Data analysis and communication improvement

AI agents can collect, analyze and organize data in real time, helping companies make decisions based on accurate information. They can identify patterns in customer interactions, measure sales team performance, and spot opportunities for improvement.

Example:

An AI system that analyzes all calls and messages to detect trends in customer inquiries and suggest improvements in communication.

5. Real-time call transcription and summary

AI tools can automatically convert calls to text and generate summaries with the key points of each conversation. This is especially useful for customer follow-up and documentation of business interactions.

Example:

A sales team automatically receives a summary of each call with a customer, including details such as key questions and expressed needs.

6. Personalization of the customer experience

AI can remember previous interactions with customers and use that information to personalize future communications. This improves the user experience and increases the likelihood of conversion and loyalty.

Example:

A regular customer of an online store receives personalized recommendations based on their previous purchases and browsing history.

How can Glofera help you integrate AI Agents in your company?

At Gloferaas Authorized Digitalizing Agents, we help you to implement AI Agents in your company through the Consulting Kitwith which you can get up to 24.000 € in professional consulting.

If you have between 10 and 250 employees, this grant allows you to optimize customer service, process automation and business communication.

Deadline until March 31, 2025! Don’t miss the opportunity to boost your business with AI. Write to us at hola@glofera.com or call us at +34 900 600 300

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Proximity technology consultancy formed by professionals with more than 20 years of experience in the field of Cybersecurity and Telecommunications.

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