Knowledge hub
Guides and case studies for businesses that want to modernize their operation with technology, data, automation and artificial intelligence. No jargon, written for business owners who know their business and want to understand what is actually possible.
Where to start? If you are not sure how organized your information is, take the assessment first: it tells you which stage you are at. If you already have an AI project in mind, the checklist shows what is missing before you invest. And if you are deciding between buying software or building your own, start with the article on custom ERPs.
The common mistake is to believe AI is the first step. In businesses that still rely on Excel, WhatsApp or paper, the first step is organizing information, digitizing processes and defining what business problem you want to solve.
Read articleAnswer 12 questions about your data, processes and team, and get your digital maturity level, an explanation of the stage you are at and three recommendations to move forward. It takes a few minutes and needs no technical background.
Take the assessmentBefore implementing artificial intelligence you need clear processes, organized data and a concrete problem to solve. Check what you already have in data, processes and team, and see what is missing.
Open the checklistFor most companies, starting with SaaS such as Siigo or Alegra is the right call. We explain when a custom system does make sense: processes no SaaS models well and limits you have already outgrown.
Read articleWe compare the three models on what matters for serving customers on WhatsApp: latency, cost per message, Spanish quality and integration. Includes the framework we use to choose on each project.
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