We Help Your Team Leverage AI for Digital Marketing, Sales, and Data Analytics
Learn the basic principles of artificial intelligence and learn how to create effective prompts like a pro to improve interaction with language models like GPT.
We help you structure your queries to LLMs more effectively, using advanced prompt engineering techniques to get answers that better align with your goals.
We help you select and set up the best AI solutions to automate digital marketing, sales, and data analytics tasks, boosting your operational efficiency.
We create language models tailored to your business needs, integrating them into your workflows to improve productivity and personalize your processes.
We identify any opportunities to optimize tasks with artificial intelligence.
We collect data and take into account recent usage, AI tools, challenges, and needs.
We teach you AI and prompt engineering tips to help you communicate more effectively with LLMs.
We offer customized GPT solutions for your business and other tools to optimize processes.
We set up customized GPT models and create a roadmap for teams based on their specific needs.
We monitor and test the models to check the efficiency of the implemented systems.
Artificial intelligence (AI) is the combination of algorithms designed to create machines with human-like capabilities, such as data analysis, decision-making, and process automation.
AI can help optimize repetitive tasks, improve customer experience, generate more content in less time, analyze large volumes of data for strategic decision-making, and increase operational efficiency.
There are several types of artificial intelligence driving business transformation. Among the most popular are generative AI, predictive AI, and agentic AI.
Generative AI uses machine learning and neural networks to create original content, such as images, videos, and text. In marketing and sales, its applications include generating copy for social media, creating content structures, identifying keywords, developing scripts, rewriting and optimizing text, and more.
Predictive AI uses statistical models and learning algorithms to identify patterns and predict trends. In marketing and sales, it's used to forecast peak and low demand periods, anticipate user behavior, offer personalized content or products, improve lead scoring, analyze sales calls, and more.
Agentic AI generates content, makes decisions, and takes actions autonomously. You can implement it into your business with AI agents that automatically respond to customer service inquiries or automatically optimize a campaign based on its performance and interaction with the audience.
A custom GPT is a version of ChatGPT tailored for a specific purpose or task. It turns the chat into a personalized assistant for our teams, which we can train based on very specific instructions.
You can limit their access to your team or share them with other users. To configure them, however, you need to have the ChatGPT Plus or Enterprise.
It depends on the company's situation and the tasks your team is currently working on in the strategy, as well as digital channels and more.
The discovery and research phases aim to identify opportunities for us to propose AI tools tailored to your needs.
That said, above, you can find some other tools that we typically include in these consultations.
Yes, the service includes a training session for everyone involved in which we'll cover the fundamentals of AI in the context of digital marketing, sales, and data analytics.
Additionally, we’ll go over best practices for prompt engineering so you can improve your communication with AI systems and gain a better understanding of data and file protection when sharing them with ChatGPT.
Prompt engineering is the process of creating clear instructions so that AI models generate responses that meet our expectations.
Since language systems can't read our minds, it's important to explain exactly what we want from them. The more specific the prompt, the more accurate the response. Well-designed prompts lead to better results, more efficient processes, and help unlock the full potential of AI in any use case.