From the rise of LLMs to real solutions: how AI can transform your business

In recent years we have witnessed a true turning point in the digital world: the explosion of large language models (LLMs) such as GPT, Claude, or Llama, as well as the emerging appearance of consumer-facing tools (ChatGPT, etc.), has completely changed the way we understand technology.

Until recently, artificial intelligence was seen as a powerful tool but limited to very specific use cases: image recognition, data predictions, or automating repetitive processes. But with LLMs we have entered a new stage: systems capable of understanding and generating natural language with astonishing precision. This opens the door to applications we could only imagine before.

Today, any company can consider using AI to (among many other cases):

• Solve customer queries with contextual and natural responses.
• Automatically generate documents, reports, or descriptions.
• Summarize large volumes of information in minutes.
• Assist internal teams with tools that learn from their processes.

And most importantly: this is not just a passing trend. The advance of LLMs shows us that AI is no longer just a technological add-on, but a transversal layer that can transform any area of business—from customer service to strategic decision-making.

At Creagia, we specialize in turning this potential into concrete and useful solutions. Our goal is not to implement AI “just because,” but to design tools and applications that help companies work better, become more efficient, and unlock new opportunities.

Areas where AI brings the most value to businesses

1. Process automation

AI can take over repetitive and manual tasks, freeing up your team’s time for higher-value activities.

• Automatic processing of documents (invoices, contracts, delivery notes).
• Generation of quotes and commercial proposals based on historical data.
• Intelligent responses to recurring customer queries.
• Internal support by answering routine questions within the company.

Example: a tool that reads incoming invoices, classifies them automatically, and records them in the management system without human intervention.

2. Enhancing customer service

The combination of AI and digital interfaces allows for a smoother, more personalized user experience available 24/7.

• Intelligent chatbots trained with company knowledge, customer service FAQs, sales department information, etc.
• Voice assistants to handle calls or basic inquiries.
• Personalized product or service recommendations.

Example: a virtual assistant connected to the company’s database that resolves common customer questions in real time.

3. Data analysis and decision-making

Companies accumulate large volumes of data but often fail to leverage it. AI helps turn it into actionable insights.

• Predictive analysis of sales and demand.
• Identifying patterns in customer behavior.
• Automatic detection of anomalies and risks.

Example: an intelligent dashboard that anticipates which products will be in higher demand depending on the season and recommends pricing strategies.

4. Improving accessibility and user experience

AI also plays a key role in making the digital world more inclusive and user-friendly.

• Automatic generation of image descriptions for people with visual impairments.
• Translation and adaptation of multilingual content.
• Personalized interfaces according to user profiles.

Example: a system that automatically generates alt text in several languages for an image library, improving accessibility and SEO.

5. Computer vision and image recognition

Computer vision allows machines to “understand” the visual world, opening huge opportunities for companies in many sectors.

• Quality control in production lines by detecting anomalies.
• Real-time object or person recognition to improve security or logistics processes.
• Extracting information from scanned documents or images, facilitating later search.
• Automatic classification and organization of image or video libraries.

Example: a system that analyzes products in a factory and detects defects invisible to the human eye, reducing costs and improving final quality.

How we do it at Creagia

Our approach combines technical expertise, development methodology, and business vision:

• Initial diagnosis: we analyze the company’s specific processes and challenges.
• Definition of use cases: we prioritize those where AI can bring the most value.
• Design and development: we build the custom tool, often combining external AI models (OpenAI, Anthropic, etc.) with in-house development.
• Integration: we connect the solution with existing systems (ERP, CRM, internal applications).
• Security and trust: we create all the necessary conditions to ensure both security and content quality, with guardrails and automated quality checks among others.
• Support and continuous improvement: AI evolves, and so must the software.

Key benefits for companies

• Efficiency: less time spent on repetitive tasks.
• Error reduction: automated processes with greater reliability.
• Better customer experience: faster, more personalized responses.
• Competitive advantage: companies that adopt AI gain agility and adaptability.
• Scalability: custom solutions grow alongside the business.

From theory to action

Artificial intelligence is not a “luxury” reserved for large corporations. Today it is accessible and can be applied practically in any company, big or small.

The key is to do it wisely: identify where it brings real value and develop digital solutions that integrate into the company’s day-to-day operations.

At Creagia, we are clear that AI doesn’t replace people—it empowers them. Our job is to build the tools that make this leap possible, and we have already done so with both small businesses and large corporations.

👉 If you’d like to explore how AI can help your business, let’s talk!