Luisa Calvo during her address on the challenges of AI adoption
Luisa Calvo, Ineco’s Deputy Director for Transformation, Data and AI, took part in the event “Artificial Intelligence and Automation: Time to Capture Real Value”, organised by the CIOS Disruptores community at Madrid’s Museum of the Americas. The gathering brought together technology leaders to discuss how organisations can turn artificial intelligence into tangible results and overcome the barriers that often hinder its adoption.
During the event, Ineco shared its experience in developing AI solutions designed to improve processes, leverage organisational knowledge and address the needs of its clients, particularly public administrations. The company’s approach is based on a simple principle: “AI should not be assessed by how innovative it is, but by the value it creates”, as Calvo explained.
To advance this vision, Ineco has established a framework for prioritising and evaluating AI initiatives that considers factors such as business impact, risk, scalability across projects and alignment with the company’s strategy. The aim is to identify applications capable of reducing delivery times, improving the quality of work and enabling the development of new services.
A key element of this approach is the creation of reusable solutions. Reviewing regulations, procedures and requirements, and comparing them against project documentation, is a common need across areas such as quality management, environmental management, health and safety, and tender evaluation. Identifying these shared challenges makes it possible to develop capabilities that can be applied across multiple projects and clients, making better use of knowledge and resources.
Calvo also addressed one of the main challenges facing AI adoption: moving from a pilot project to a solution that delivers value every day. “The real challenge is turning AI into a stable business capability, embedded in processes and supported by reliable data, security, regulatory compliance, maintenance and clear accountability,” she said.
Achieving this requires high-quality information, clear ownership of each solution’s development and integration into the tools that professionals already use. It also depends on building trust among users, a particularly important factor in highly regulated environments.
Ineco’s experience therefore highlights the importance of approaching AI from the perspective of organisational objectives, governance and reusability. As Calvo concluded: “Models evolve very quickly, but processes and the way organisations create value remain the same.”
