
The First Line Software team shares insights and updates with each other on a nearly daily basis, but we know that we don’t exist in a vacuum. That’s why we share our experiences with our local communities all around the world at our Meetup Nights.
Our most recent Meetup Night was held in Bogota, Colombia, where our team partnered with AWS User Group Bogota for an evening of insights, skill sharing, and connection.
Our teammates Angelica Echeverria and Juan Sebastian Pera presented their expertise at the meetup, sharing insights about our own use cases and how organizations can prepare for successful AI adoption.
We know it’s always better to hear presentations in their original form, straight from the speakers themselves. But we gathered some key takeaways from our teammates’ talks, so you can see what we’ve been up to (and why our Meetup Nights are so great!).

Some context for our readers: Jaime is the AI assistant who supports the First Line Software team on our global website, firstlinesoftware.com (if you follow the link, you’ll find Jaime in purple, in the bottom right corner). Since its initial launch, Jaime has been receiving regular updates and new features from our team. This presentation describes why we created Jaime, and the journey we’ve had together since its inception.
Initial Problem:
Jaime 1.0 could answer basic questions, but users needed something more: continuity, personalization, and real context. People needed a system that could understand intent, follow the user’s journey, and offer a more natural interaction.
Goal:
Transform a reactive chatbot into a proactive digital assistant that guides visitors using contextual intelligence.
Solution:
• Development of Jaime 2.0
• Modular, multilingual architecture with voice capabilities
• Smart suggestions such as “summarize this page” or “see similar cases”
Results:
• More natural and personalized interactions
• Increased time spent on the site
• Ready for future advanced search and multichannel features
Problem:
A bank had to process thousands of documents in multiple languages under strict regulations, without being allowed to use cloud services. Manual workflows were slow, expensive, and prone to errors.
Goal:
Automate document review and regulatory compliance with AI, while maintaining full security and confidentiality.
Solution:
• Implementation of RegulationAI with OCR (Optical Character Recognition) and multilingual analysis
• Data extraction for loans, conditions, and regulatory requirements
• On-premise processing on the bank’s servers to meet regulatory requirements
Results:
• 70% reduction in review time
• Higher accuracy and lower costs
• Scalable, secure platform adaptable to new regulations
Takeaways from our experience
What the client values most in product development:
Conclusion
Artificial intelligence is not just technological innovation; it’s a tool to improve processes, decisions, and experiences. Our team has seen firsthand that when AI is applied with purpose, it transforms operations and creates significant value.

[quick intro of his talk]
The AI Mirage
It looks amazing in the demo…
…but in production, it becomes slow, expensive, or simply doesn’t work as expected.
Why AI Fails in Production
It’s not the technology…
…it’s the foundation:
Sound familiar?
Maybe you’ve experienced…
The Cloud is a Toolbox
But tools don’t build the house.
The blueprint and foundation do.
Value isn’t in which tool you use—it’s in how you use it.
Real Value is Hidden in Your Operation
Don’t automate a process you don’t understand.
Structured and Clear Processes
Your goal: consistency
APIs and CRM—AI alone is useless!
Your CRM is the brain of your operation
Refine Reporting and Change the Mindset
New metrics to track:
Prepare your reports today—so when AI arrives, you can measure its real value.
"AI implementation is not a technology project. It’s a business project supported by technology." – Google Gemini

Want to join the next Meetup Night near you? Keep an eye out for upcoming events and we’ll see you there!