AI Stopped Being a Pilot in Colombia and Entered Operations. Companies Still 'Experimenting' Aren't in the Previous Stage — They're Behind.
The AI conversation in Colombia changed this week: from isolated pilots to integration in critical processes with tangible impact. What that means for companies that haven't made the transition yet.
Project App
Engineering Team
This week, Revista Latinpyme published something that confirms what I've been observing from ProjectApp: the conversation about artificial intelligence in Colombian companies changed. What were previously isolated initiatives and conceptual tests, today translates into direct integration of AI in critical processes, generating tangible impact on productivity, service, and decision-making. AI stopped being a pilot. It entered operations. And that changes the question every company should be asking: it's no longer 'should I explore AI?' but 'which process will I implement it in first?'
What It Means for AI to 'Enter Operations'
The difference between an AI pilot and AI in operations is concrete and measurable. A pilot is a controlled test, with limited data, in a secondary process, where the goal is to learn. AI in operations is a system that runs every day, with real company data, in a critical process, where if it fails there are real business consequences. That's the leap the most advanced Colombian companies are making right now.
This Week's Context
Conecta Colombia 2026 (June 2-3) brought together 400+ executives to discuss AI in operations, automation, and cybersecurity. 92% of Colombian workers already use AI (EY, 2026). AI in Colombia moved from experiment to operational infrastructure in the most advanced sectors.
Key Takeaways
Key Takeaways
- 1AI in Colombia moved from pilot to operations in the most advanced sectors. The gap with those still experimenting grows every month.
- 2Highest-impact processes in operation: customer service, predictive analytics, document automation, price and stock optimization.
- 3The prerequisite for the leap is always the same: structured data, well-defined critical process, integration with the operation system.
- 4Every month of AI in operation with real data consolidates a competitive advantage that becomes hard for latecomers to recover.
At ProjectApp we're starting to integrate AI into the developments we build for clients. Not as an optional feature — but as the layer that allows the software we build today to be the platform on which the client's AI will operate tomorrow. Because building custom software in 2026 without thinking about the AI layer on top is like building without thinking about scalability. It's building for the present, not for the next three years.
If you want to understand how to make the leap from pilot to AI in operations at your company, and what software infrastructure you need for that to work, the free diagnosis is the first step.