Guides to implementing artificial intelligence in your company.
I’m David Tovar, a freelance AI engineer and the founder of Onezix. Here I publish the criteria I apply in real projects to implement AI agents, process automation and data analysis: what is worth automating, how to design it and how to measure the result.
Four areas for implementing AI soundly.
AI agents
Conversational, service and qualification agents: what they can resolve and where a person steps in.
4 guidesKnowledge and documents
Assistants on company documentation and intelligent document processing.
5 guidesStrategy and implementation
How to choose the process, measure results, calculate return and protect data.
7 guidesIntegration and platforms
Systems integration, custom platforms, quoting and maintenance.
4 guidesWhere to start.
Each guide opens with a summary and explains the criteria I apply, with the risks and checks that shouldn’t be skipped.
Automation, agent or application
Automation, AI agents and applications solve different problems. This is how I choose based on the task, not the product label.
Read the guide AI agentsCustomer service agents
A customer service agent resolves enquiries at any time. Its value depends on knowing when and how to hand over to a person.
Read the guide Knowledge and documentsIntelligent document processing
AI can read invoices, contracts or case files and turn them into structured data. I explain how I design it so the result is reliable.
Read the guide Knowledge and documentsWhat RAG is and how it works
RAG lets an AI model answer from your company’s documents. I explain how it works and what makes its answers reliable.
Read the guide AI agentsAutomatic opportunity qualification
AI can analyse every incoming request, score it and assign it to the right person. I explain how to design it so the team trusts the result.
Read the guide Strategy and implementationWhat it takes to integrate AI
Integrating AI isn’t giving people a chat window. It means bringing capabilities such as interpreting or searching into existing processes, with data, permissions and oversight.
Read the guideDavid Tovar, freelance AI engineer and founder of Onezix.
I sit down with each company, understand how it works and adapt artificial intelligence and automation to its processes, integrated into its systems. I hold a degree in Software Engineering from the University of Granada and have more than 14 years of experience building software for businesses.
I work directly with companies through davidtovar.dev and, when a project needs a full team, through Onezix, the external AI department I founded.
Frequently asked questions
Who is David Tovar?
David Tovar (David Pérez Tovar) is a freelance AI engineer based in Spain and the founder of Onezix. He sits down with each company, understands how it works and adapts artificial intelligence and automation to its processes, integrated into its systems.
Who are these guides for?
For executives and department heads who want to implement artificial intelligence in their company and need sound criteria before deciding: what is worth automating, what each solution requires and how to measure the result.
How are dvtovar.com, davidtovar.dev and Onezix related?
dvtovar.com collects my guides on artificial intelligence in business. On davidtovar.dev I explain how I work as a freelance AI engineer. Onezix is the company I founded: an external AI department for companies without an in-house tech team.
Can I consult you about a project?
Yes. Book a meeting and we’ll review together the process you want to improve. The first conversation comes with no commitment.
Let’s talk about how AI can help your company.
Book a meeting or leave your number and I’ll call you. In the first conversation we’ll identify which processes you can automate.