The rise of artificial intelligence (AI) in Ecuador is clear: 68% of companies already use AI-powered tools in their daily operations, and 40% have implemented concrete solutions. Sectors like banking, retail, healthcare, and telecommunications are leading this transformation, showing that adoption is not a future promise but today’s reality.

Yet there’s a striking gap: despite this progress, many processes remain stuck in exploratory stages. What’s holding back large-scale, structured adoption? Much of the public conversation still revolves more around regulation than tangible results. Ecuador doesn’t need more committees—it needs implementation. The real challenge isn’t understanding AI, but applying it effectively. And for that, proven paths already exist.

If there’s one sector where AI has moved beyond theory and become true operational muscle, it’s finance. The pressure to cut costs, minimize risks, and respond faster to regulations has made banking the natural testing ground for technology adoption.

In Ecuador, we’re already seeing this with automated client onboarding through facial recognition, proactive fraud detection using machine learning models, and real-time risk assessments that leverage external variables beyond traditional credit history. The result: greater agility, lower exposure to risk, and customer experiences aligned with digital expectations.

This isn’t an isolated phenomenon. In Colombia and Mexico, 30% of banking channels are already automated with AI (Inter-American Development Bank, 2023). Ecuador has fertile ground—but it needs to speed up the shift from pilot to full-scale operation.

The lag isn’t about lack of interest—it’s about internal barriers slowing down adoption. High turnover of specialized talent, limited understanding of AI’s real capabilities, and a persistent fear of investing in something with an uncertain ROI all play a role.

Many organizations still rely on in-house developments that demand time, money, and human resources that aren’t always available. This is where the need becomes clear: shifting toward ready-to-implement solutions that have already been tested and proven effective in similar contexts. As highlighted by the Ecuadorian Chamber of Innovation and Technology (2024), the challenge isn’t discovering AI—it’s scaling it.

Instead of “reinventing the wheel,” some organizations in the region have chosen to integrate solutions that compress years of development into just weeks of implementation.

That’s the case with IzyTesting and IzyDev, low-code/no-code platforms developed by Q-Vision Technologies, already widely adopted in Colombia and Panama. With them, banking institutions have reported:

• 60% reduction in software validation times

• 35% savings in QA costs through automated testing

• 40%+ improvement in time-to-market for digital products

Replicating this model in Ecuador would mean accelerated adoption—without major internal restructures or massive infrastructure investments. Instead of building from scratch, it’s about activating solutions that are already delivering results.

While drafts on ethics and regulations around AI are taking shape, the core question remains: does it make sense to regulate something that hasn’t yet been fully adopted? Regional experience suggests a more efficient path: regulatory sandboxes. These safe environments allow companies to test AI solutions alongside the government, making it possible to measure, learn, and scale before imposing restrictions.

This doesn’t mean ignoring ethics—it’s about finding balance between caution and progress. Regulating without implementation leads to paralysis. Implementing without evaluation puts trust at risk. The key lies in responsible testing, not waiting for the “perfect regulatory framework” that never arrives on time.

Ecuador has the talent, the basic infrastructure, and the business interest to become a key player in AI adoption across the region. But it urgently needs to move from diagnosis to action.

Business and technology leaders in the country can speed up digital maturity by:

• Identifying business areas with immediate AI value, such as process automation, fraud detection, or customer behavior prediction.

• Adopting ready-to-use solutions like IzyTesting and IzyDev, delivering results in weeks, not months or years.

• Building hybrid teams that connect business strategy with AI initiatives, keeping focus on impact and ROI.

• Creating alliances with regional tech providers that already operate in similar environments.

• Driving regulatory sandboxes from the private sector, where risks are managed without stalling innovation.

Ecuador is facing a strategic decision: AI is no longer a technical dilemma, but a competitive advantage. The choice is not between regulation or implementation—it’s about implementing well first, and regulating better after. The best moment to act is no longer the future—it’s today.