Generative AI in companies: real-world use cases and applications by Holistic Data Solutions

Generative artificial intelligence is undoubtedly one of the most visible and widely discussed technologies of recent years. Although many companies associate it only with conversational tools or content generation, it can actually automate complex tasks, interpret unstructured information, and execute end-to-end processes that previously required constant human intervention, making it highly relevant in a corporate context.

As an example, in this article we present real-world use cases developed by Holistic Data Solutions, where generative AI has been applied to solve specific challenges across different industrial and service-based companies.

What is generative AI and how is it applied in business.

Generative AI is a branch of artificial intelligence capable of creating content, interpreting information, and generating responses or actions based on data. Unlike more traditional approaches focused on analysis or prediction, this type of AI also produces new outputs, whether texts, classifications, decisions, or even fully automated processes.

In a business context, this translates into a wide range of applications, such as document generation, customer service automation, interpretation of complex information, and execution of administrative tasks, among many others.

By the way, if you want to explore what generative AI is and how it differs from other types of AI, you can do so in this other article, where we have already discussed in depth how to implement artificial intelligence in companies.

Now, let’s look at some real-world use cases delivered by Holistic Data Solutions that serve as examples of the different applications that can be adopted with this type of technology.

Data extraction automation with generative AI: packaging company use case.

Context and challenge.

A company specializing in cardboard packaging with artistic finishes managed a high volume of operational documentation on a daily basis. Specifically, manually analyzing around 100 delivery note sheets per day represented a significant workload for the team.

This process involved reviewing documents, identifying important data such as the delivery note ID or weight in kilograms, and transferring it to internal systems. In total, this task consumed around 25 hours of manual work per week, with the resulting operational cost and risk of errors.

Solution implemented.

To address this situation, an automated solution was designed combining Power Automate, Python, and the OpenAI API.

The system manages PDF documents through Power Automate and uses a Python script that, supported by generative AI capabilities, analyzes the content of the documents, including images, to extract the relevant data.

The system then generates structured CSV files that are automatically consolidated into a master file. In addition, document classification is automated, organizing files into folders according to their status, ensuring traceability and process control.

Results and impact.

The impact was immediate:

• Processing time reduced from 25 manual hours to 3 automated hours.
• Minimized errors in data extraction.
• Virtually zero operating cost, limited to the Power Automate subscription and use of the OpenAI API.
• Team time freed up for higher-value tasks.

This case shows how generative AI can automate complex tasks that require document interpretation, not just simple repetitive tasks.

Sales process automation with generative AI: language academy use case.

Context and challenge.

A language academy with more than 40 years of experience offering training programs adapted to all ages and levels faced a common challenge in high-demand organizations: overloaded support channels and administrative burden.

Manual management of enrollments, lead qualification, and query handling consumed much of the sales team’s time, causing response delays and lost sales opportunities.

Solution implemented.

The implemented solution consisted of a generative AI ecosystem based on intelligent agents, capable of acting as a true “digital nervous system” for the organization.

This system interprets the user’s real intent and performs autonomous actions in real time, such as answering complex questions about courses, exams, or services, or supporting the conversion process by scheduling appointments, enabling automated enrollment records, or redirecting users to contact forms.

In addition to the above, it integrates a recruitment module that allows users to view vacancies, apply for relevant positions, and manage applications.

The entire system is supported by centralized ingestion of all corporate information and by an architecture that goes beyond the limitations of traditional chatbots, enabling complete processes to be operated.

Results and impact.

The results were significant:

• Automation of 90% of enrollment triage.
• More than 6 hours saved per day on administrative tasks.
• Improved response speed and sales conversion.
• Generation of records that enable full traceability of interactions and useful metrics.

Order automation with generative AI: sleep products company use case.

Context and challenge.

A leading company in Spain’s sleep products sector managed a high volume of orders via email from its broad network of distributors and points of sale.

These orders arrived in highly diverse formats (free text, PDFs, Word documents, or images) requiring a manual process of classification and data transcription. This approach involved time, risk of errors, and strong operational dependency.

Solution implemented.

To optimize this process, an intelligent inbox system based on generative AI was developed to classify and process orders received by email, integrating them with the company’s internal system.

This inbox automatically detects whether an email corresponds to an order and, if so, extracts the critical information (items, quantities, measurements, finishes, etc.) from both the body of the message and its attachments, regardless of format.

During this AI-powered process, the system also validates products and customers against the company’s database, classifies orders as complete or incomplete, and records all information in a structured format for subsequent processing.

Results and impact.

The implementation made it possible to:

• Significantly reduce the time and staff dedicated to manual email management.
• Minimize transcription errors.
• Improve process traceability.
• Establish a solid foundation for future automation.

Applications of generative AI in companies: what these cases have in common.

Although these projects were applied across very different sectors (industrial, education, and logistics) they share a number of common characteristics.

First, they are initiatives focused on particularly labor-intensive processes, those that require a heavy manual workload and consume a great deal of team time. They also tend to involve the management of complex or disorganized information, making it difficult to analyze using traditional methods.

Another common aspect is the automation of tasks that, until now, depended on human interpretation, representing a qualitative leap in the way day-to-day work is approached.

Finally, these projects generate a direct and noticeable impact on efficiency and costs from the early stages, making the benefits evident in a very short period of time.

It is clear that generative AI goes far beyond simple content creation. This technology enables the comprehensive redesign of processes, helping improve productivity in a real and tangible way.

How to get started with generative AI in your organization.

Generative AI has the potential to transform the operations of companies across different sectors. Looking at these examples, it becomes clear that there is no need to tackle large projects from the outset; instead, the first step is to identify specific processes where there is a clear opportunity for improvement.

At Holistic Data Solutions, we support organizations throughout this entire process: from identifying opportunities to designing and implementing generative AI-based solutions that create real business impact.

If you would like to explore how to apply generative AI in your company, contact us.