Innovating in a 30-year-old company with established processes isn't the same as in a startup. We share what we've seen work (and fail) accompanying Chilean companies in their first AI implementation, and the cultural mistakes that no technical project can overcome.
80% of innovation projects that fail don't fail for technical reasons. They fail because they collide with a culture that rewards not making mistakes over learning fast. Before proposing an AI pilot, it's worth asking whether the organization has real space for an experiment to fail and no one to be punished for it.
Innovating isn't buying technology, it's building the organizational muscle to use it. Companies that understand that difference capture real value; those that don't accumulate expensive software licenses no one uses.
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There's an idea that to implement AI you need a team of PhDs and a huge budget. It's false. Most Chilean SMEs can capture real value with AI without hiring specialists. This is the honest guide on how to start, what to avoid, and how to measure if it's actually working.
After implementing more than 30 automation projects, we identified 5 processes that appear over and over again. We show you which ones they are, how we approached them, and what results you can really expect, with figures from projects in production today in Chile.
Before selling automation to others, we automated our own. We went from manually processing invoices for days to having a flow that classifies, extracts data, and registers everything in the ERP without human intervention. We share what worked, what didn't, and what would have saved us months of iteration.
Schedule a meeting and discover how artificial intelligence can accelerate your company's growth.
