Artificial intelligence is currently enjoying its moment in the spotlight; never before have so many companies shown such interest in incorporating it into their operations.
TIMIA Team
henyi.gutierrez@timia.ai
We are a new-generation consultancy focused on the management, optimization, and automation of data with AI. We work every day to ensure AI is a real, ethical, and measurable competitive advantage for our clients.
Artificial intelligence is entering a new phase in the corporate sector: after years of
pilot programs and testing, organizations are looking to scale projects that have a real impact on productivity, customer experience, and operational efficiency.
Lima, Peru. Artificial intelligence is moving beyond the realm of experimentation
to become a strategic tool within Peruvian companies.
After several years of pilot projects and technological testing, the corporate sector’s focus is shifting toward a clear goal: generating measurable business results.
According to Xabier Zuazo, TIMIA’s CEO for Latin America, 2026 will mark a turning point in the adoption of artificial intelligence in the country.
“Many companies have already moved past the testing phase. In sectors such as banking, healthcare, and retail, they have been running pilot programs for years and have seen that artificial intelligence can deliver concrete improvements in operational efficiency, customer management, and risk control
. The challenge now is to scale those use cases across the entire organization,” he explains.
In recent years, the rise of generative artificial intelligence and advances in natural language processing have accelerated the adoption of these tools in the corporate sector. What was once perceived as a complex or distant technology has now become a strategic capability for competing in increasingly digitized markets; in fact, according to McKinsey, by 2025, nearly 88% of organizations will already be using AI in at least one business function.
This shift is also transforming the way artificial intelligence projects are launched within companies. Whereas such initiatives used to originate primarily from technology departments, business units are now taking a leading role in their implementation.
“We’re seeing more and more projects driven by sales, customer experience, or operations teams that aim to solve specific business problems and create competitive advantages,” says Zuazo.
Today, companies investing in artificial intelligence are seeking tangible results in three key areas. The first is improving the customer experience through solutions that enable personalized interactions, faster responses to inquiries, and the ability to anticipate customer needs. This translates into improvements in metrics such as NPS,
conversion rates, and customer loyalty levels.
The second is to reduce operating costs through intelligent process automation. Unlike in previous years, when many initiatives focused solely on technological innovation, companies now demand precise measurements of how much a process’s cost is reduced and what the return on investment is.
The third objective is to accelerate time to market, enabling organizations to launch products and services more quickly and simplify their technology architecture
.
Based on TIMIA’s experience in the region, the greatest progress in the adoption of artificial intelligence is being made in areas such as: customer experience, sales management, risk management, operations, and technology.
In many cases, these areas have served as the initial drivers of digital transformation within companies, generating use cases with measurable impact that are then rolled out across the rest of the organization.
Despite the growing enthusiasm for these technologies, Zuazo warns that many companies still make a common mistake: treating artificial intelligence as a purely technological project.
“When there is no clear business strategy, data governance, impact metrics, or change management, projects tend to remain as pilot initiatives that are technically interesting but have no real impact on the organization,” he says.
The adoption of artificial intelligence is also driving changes in organizational culture. Business leaders are shifting from overseeing operational tasks to redesigning entire processes to take advantage of AI capabilities.
At the same time, there is growing demand for professionals who can combine business, data, and technology—a combination that is becoming increasingly critical for competing in highly digitized business environments.
According to Zuazo, companies that achieve sustained results with artificial intelligence typically share four key elements: committed leadership, robust data governance, the ability to scale use cases, and investment in specialized talent.
“The difference rarely lies in the available technology. What really determines success is organizations’ ability to consistently implement and scale artificial intelligence initiatives,” he concludes.
Artificial intelligence is currently enjoying its moment in the spotlight; never before have so many companies shown such interest in incorporating it into their operations.
With this appointment, TIMIA is embarking on a new phase aimed at accelerating its growth and consolidating its market position.
AI will shape digital transformation in 2026: focus on quality data, advanced automation, data governance, and responsible adoption to scale value.
