The Argentine insurance market has left behind a scenario of relative stability to enter a stage marked by higher levels of complexity. Added to the structural challenges of the business is a context in which local economic volatility, pressure on profitability and a technological acceleration that redefines the way of operating converge. In parallel, increasingly interconnected social, technological and environmental risks force companies to respond to more frequent and severe incidents, in an ecosystem of high capital consumption and growing operational demands.
The industry’s response has been to deepen digitalization, although with a substantial difference compared to previous years. If before the focus was on optimizing customer service and digitizing contact points, today the transformation is advancing on core business processes.
In this context, the emergence of agentic AI promises a qualitative leap, moving from the automation of isolated tasks to the execution of more integrated business flows. David Sotoglobal director of Offer, Alliances and Innovation for Health and Insurance from Softtek, explains: “Agentic AI will take automation to a new level by connecting capabilities that traditionally operated in a fragmented way, such as underwriting, document management, claims, customer service, fraud and back office.”
This evolution also drives a more modular architecture in the market, which allows capabilities to be decoupled and processes modernized without the need to completely replace existing systems. In a sector where legacy structures coexist with new demands for efficiency, this approach offers a more gradual and viable way to incorporate artificial intelligence into critical areas of the business. “The great challenge for many insurers in Argentina today is to transform their operation without interrupting it. Along this path, modular models allow them to advance in stages, integrate new capabilities and add intelligence to key processes with greater flexibility, traceability and control”says Soto.
The results of those who are already moving in that direction, according to McKinseyshow improvements of up to 20% in sales conversion and greater precision in claims settlement, an especially sensitive point in a local market where operational efficiency is key to sustaining profitability.
However, the path towards greater autonomy is not without challenges. The adoption of autonomous agents and open systems expands the surface of exposure to regulatory and cybersecurity risks. In a market under the supervision of the SSN, AI governance becomes a central factor to accompany this transformation. Insurers today face the challenge of centralizing the visibility of their systems, safeguarding the quality of the data and establishing supervision mechanisms that allow them to prevent everything from information leaks to unwanted decisions in critical processes.
In this new scenario, competitive advantage no longer depends solely on price or scale, but rather on the ability to operate in a secure, integrated and profitable manner in an environment where data gains prominence as a strategic asset. For insurers, the challenge is not only to incorporate new technologies, but to do so with an operational and governance base capable of sustaining the trust of the insured. and respond to the demands of an increasingly dynamic market.
by MA
