Artificial intelligence is leaving the experimental phase behind to become a structural element in the technological transformation of companies. In this context, GFT Technologies celebrates 25 years in Spain, claiming a positioning that the company defines as AI-Centric, based on applying artificial intelligence not as an additional layer, but as an axis to rethink software development, legacy modernization and business processes.
The evolution is not minor. From a technology provider specialized in banking, GFT has gone on to operate as a strategic partner in complex transformation projects in regulated sectors, relying on cloud, automation, advanced engineering and, increasingly, agentic architectures.
“We are in a moment of strong disruption for all companies,” explains Manuel Lavín, Chief Executive for Europe and CEO of GFT Spain. “The initial adoption phase has already been passed. Now customers are considering how to integrate AI at all levels of the business and how to rethink end-to-end processes in an agentic mode.”
That concept—thinking in an agentic way—runs through a good part of the vision that GFT has been building for years. As Lavín recalls, the commitment to artificial intelligence began in 2015, long before the current generative boom, and crystallized three years ago in Wynxx, the company’s agentic platform.
Wynxx as a full development cycle platform
More than a specific tool, Wynxx is presented as a platform to industrialize the complete development cycle. From the functional development of needs to the generation of specifications, coding, testing or deployment, the proposal seeks to incorporate AI agents into all its phases.
“The idea was to build a framework that covered all the pieces of AI within the same platform,” says Lavín. This approach connects with a trend that is gaining weight in the market: AI Modernization, where the modernization of legacy systems and native development with AI converge.
According to GFT data, Wynxx has achieved efficiency increases of more than 40% and reductions of up to 90% in tasks such as documentation, testing or transformation of legacy systems. But beyond productivity, the proposal points to another deeper change: the concept of “evergreen” software, continually updated through automated agents and processes, an evolution that the manager directly links to a new generation of DevOps.
The manager highlights that projects are increasingly competitive, allowing efficiencies to be between 30 and 60% compared to traditional developments. In fact, he emphasizes that carrying out technology projects will become increasingly more affordable and require fewer resources, which will democratize technology and allow for greater specialization. “The question is no longer just how much code AI generates, but how you govern, regulate and maintain those systems,” he points out.
From assisted code to Spec-Driven Development
During the meeting held with the media, Gonzalo Ruiz de Villa, CTO of GFT Technologies, also participated, pointing out that this change has a direct reflection on how software is built today. The manager identifies a radical transformation in the role of the developer: “The current programmer, helped by AI, can generate between 2,000 and 10,000 lines of code daily. That completely changes the work dynamic,” he says.
But for Ruiz de Villa, the real leap is not in code generation, but in methodologies such as Spec-Driven Development (SDD), which place the technical specification as the core of the process and the sole source of truth before delegating execution to agents. “The developer creates the specification, puts the agents to work and then validates results. This reduces corrections and represents a paradigm shift in software engineering.”
Wynxx is presented as a platform to industrialize the complete development cycle
The impact, he maintains, goes beyond productivity. It is reconfiguring teams, profiles and responsibilities, and forcing programming-intensive companies to review traditional service models. “The value shifts towards orchestration, specialization and integration,” he concludes.
A market that is entering a maturity phase
The thesis seems to align with the recognition that the company is obtaining. In 2025, Whitelane Research ranked GFT as the highest-rated technology consultancy in Spain in customer satisfaction for AI and generative AI projects.
It also supports the business, with global revenues of 888 million euros in 2025 and forecast to reach 930 million in 2026.
But perhaps more relevant is the context of demand. According to Lavín, customer questions no longer revolve around experimenting with AI, but rather how to integrate agentic capabilities, reduce costs, modernize critical technology or redefine operating models. “Technological projects are going to be much more abundant and affordable, with fewer resources dedicated to manual tasks, but with much more specialization,” he summarizes.
Banking, industry and defense: AI in critical sectors
This approach is being deployed in verticals where GFT has strong specialization, especially banking, insurance and industry. In banking, the modernization of the core and the integration of AI in critical processes concentrates a good part of the activity. In insurance, the focus is on automation and personalization. Meanwhile, in industry, cloud, AI and IoT combine to optimize operations.
Lavín highlights defense as a new front: “There is a clear commitment to collaborating in the technological modernization of defense at the European level,” he points out, in line with a growing trend in digital sovereignty and critical infrastructures.
Spain as a strategic hub
On that map, Spain occupies a unique role. With 2,200 professionals, specialized centers of excellence and close to 40% of its teams working on international projects, the country has established itself as one of the group’s great technological hubs.
“Spain is the second most important country for GFT and the first in terms of profit. That is why there is a decided commitment to continue investing here,” highlights Lavín.
It is not a minor fact. In a market where cloud, AI and automation are redefining the software value chain, having hubs capable of combining engineering, talent and global execution is becoming a strategic asset.
And that is precisely where GFT wants to position itself in this new phase: not only as a technological integrator, but as a reference actor in modernization focused on artificial intelligence.
