The adoption of technologies like Generative Artificial Intelligence (GenAI) and Machine Learning (ML) is becoming increasingly urgent in sectors such as healthcare, retail, manufacturing, and financial services. However, the path toward that adoption remains full of friction. Economic barriers, a lack of specialized talent, and uncertainty about how to activate a real project stand between intention and execution.

In this context, BRIDGE is born: the joint initiative from Q-Vision Technologies and Amazon Web Services (AWS) that seeks to break through those blockages and pave the way for AI, doing so in a structured, sustainable, and frictionless manner.

Artificial intelligence is no longer a distant promise; today, it is a competitive necessity. According to the "Artificial Intelligence in Latin America 2024" report by Orión, the market for AI-powered solutions in the region will grow at an annual rate of 47% until 2030, reaching USD 3.8 billion. Companies that successfully integrate quickly will gain key advantages in automation, cost reduction, and generating insights for smarter decisions.

In Colombia, IDC and Fedesoft reported a 28% increase in business investment in AI solutions in the first half of 2024. However, the "State of Digital Transformation" study (Andicom, 2023) showed that 60% of companies have not yet started AI projects due to a lack of technical knowledge, budget, or strategic clarity.

The three most common barriers:

• High Cost of Entry: Many AI projects require expensive infrastructure, access to GPUs, a data stack, and expert personnel.

• Talent Shortage: According to Salesforce, 73% of organizations in the region cannot find qualified profiles in AI and data science.

• Uncertainty About Where to Start: Companies do not know which use case to prioritize or how to integrate it without disrupting other critical business areas.

The answer to this problem cannot be just training, nor solely high-level consulting. What is needed is a comprehensive, agile approach with immediate returns. That is why BRIDGE was launched: an initiative for adopting GenAI projects where Q-Vision and AWS specifically focus on reducing friction and showing value from day one.

How BRIDGE Works:

1. Risk-Free Financing

Companies gain access to a fund of up to USD $2,000 in AWS infrastructure credits, which eliminates the barriers to initial investment. This allows them to experiment, validate, and launch a functional prototype without taking on large financial commitments.

2. Internal Capability Development

The program includes official training on AWS solutions for internal teams, ensuring that knowledge doesn't reside only with the vendor but is sustainably installed within the organization.

3. Functional MVP in Production in Six Weeks

Companies choose a concrete use case and, together with experts from Q-Vision and AWS, take it to production in a maximum of six weeks. Available options include:

• Customized enterprise chatbots trained with internal data

• GenAI agents for support or intelligent assistance

• Intelligent Document Processing (IDP) systems for document reading

• Smart transcription solutions with automatic meeting summarization

These pilots are delivered production-ready, complete with strategic, technical, and executive guidance, allowing any company to start its AI journey frictionlessly and with tangible results.

If you want to be part of this initiative, simply schedule a meeting with our team here https://calendly.com/comercialqvision/30min

Unlike consulting firms where engagement starts with high costs and long projects, BRIDGE allows you to:

• Execute without risk and without high initial investment.

• Train internal talent while the MVP is being built.

• Obtain a solution ready for use, not just presentations or recommendations.

• Scale after measurable results, not before.

The results of BRIDGE are already being measured in executed pilots:

• Near 40% reduction in the cost per service ticket using GenAI agents.

• 60% to 80% time savings in document processing with IDP solutions.

• 25% improvement in user satisfaction (internal or external) with the use of trained chatbots.

These results show that adopting GenAI doesn't have to be a costly or risky process. It is possible to start with strategic focus, rapid impact, and effective knowledge transfer, without sacrificing security or control.

The Future of AI Is Already Within Reach

If one thing is becoming clear in the business environment, it’s that merely talking about artificial intelligence is no longer enough. It must be activated concretely. And in that regard, programs like BRIDGE are making a difference: eliminating the barriers that have traditionally stalled innovation and making real access to AI solutions available even for companies with no prior experience.

Recommendations for Executive and Technology Teams:

• Don't wait to have everything figured out to start: the best way to learn AI is to do AI.

• Choose a specific use case with visible impact: customer support, document processing, or administrative automation are ideal starting points.

• Ensure capability transfer: the important thing is not just the project, but the knowledge the team gains.

• Use pilot results as the basis for scaling with control: technology, people, and processes must evolve together.

Key Data Points to Keep in Mind:

• 60% of companies in Colombia have not yet started with AI due to talent or resource barriers (Andicom, 2023).

• Q-Vision and AWS enable up to $2,000 in no-cost initial cloud credits.

• MVPs are developed in a maximum of 6 weeks and are production-ready.

• 60% to 80% savings in document processes thanks to applied intelligent reading.

Final Insights for the Sector:

• Incentivizing access is more powerful than evangelizing about AI's potential.

• Scaling from real pilots is far more effective than designing roadmaps that are never executed.

• Involving the team from the beginning ensures long-term technological sustainability.

• Having a strategic partner makes all the difference between "looking good in the presentation" and having a functional MVP.

Latin America is ready. What it needs is a clear, frictionless path with partners who speak in results. And that path, with BRIDGE, has begun.

Remember, if you want your company to be part of this initiative, simply schedule a meeting with our team here https://calendly.com/comercialqvision/30min