AI agents are evolving into a new phase with the ability to act economically thanks to blockchain. They can now operate wallets, execute payments, interact with smart contracts, and manage assets without direct human intervention. This removes barriers from the traditional financial system, where they were not recognized as entities. New infrastructures are emerging, such as wallets designed for machines, temporary permissions (EIP-7702), and automated machine-to-machine payments. Real-world use cases already exist in DeFi and decentralized identity systems. However, risks remain, including key security, fraud, latency, and regulatory gaps. This convergence is redefining the financial system by enabling software to act as an autonomous economic agent.

Financial

The Agent Economy: when AI manages Its own money

AI agents are evolving into a new phase with the ability to act economically thanks to blockchain. They can now operate wallets, execute payments, interact with smart contracts, and manage assets without direct human intervention. This removes barriers from the traditional financial system, where they were not recognized as entities. New infrastructures are emerging, such as wallets designed for machines, temporary permissions (EIP-7702), and automated machine-to-machine payments. Real-world use cases already exist in DeFi and decentralized identity systems. However, risks remain, including key security, fraud, latency, and regulatory gaps. This convergence is redefining the financial system by enabling software to act as an autonomous economic agent.

Arquitectura Multi-Agent para implementar BIAN y habilitar Composable Banking mediante orquestación de servicios bancarios basados en APIs.

Multi-Agent Architecture for BIAN and Composable Banking

Multi-Agent architecture enables the effective implementation of BIAN (Banking Industry Architecture Network) principles by introducing an intelligent layer that orchestrates the bank’s Service Domains. Artificial intelligence agents interpret requests from customers or employees, identify intent, and coordinate interactions with banking capabilities exposed through APIs, while keeping the experience, business, and data layers decoupled. This approach also enables Composable Banking, where capabilities are built as independent services that can be dynamically combined to support different customer journeys, allowing banks to build more modular, scalable, and service-oriented platforms.

Noticia AI en Costa Rica

Enterprise AI in Costa Rica: from experimentation to competitive advantage

AI in Costa Rica has evolved from experimentation to a strategic priority. The challenge is no longer testing tools, but generating measurable impact. With strong leadership, reliable data, and integration into key processes, AI moves beyond pilot projects and becomes a sustainable competitive advantage.

PM

Do You Know the Triad of Success in IT Projects?

The success of an IT project does not depend solely on technology, but on the balance between leadership, communication, and management. An effective leader inspires, listens, and motivates the team, while clear communication connects all stakeholders and prevents misunderstandings. Proper management allows for planning, anticipating risks, and maintaining alignment with objectives. Moreover, effectively handling changes strengthens the client relationship and ensures quality. Together, this triad drives projects that truly create value and deliver sustainable results.

Ética y AI

Ethics in Artificial Intelligence: Have We Made Enough Progress?

The document examines progress and challenges in AI ethics, based on the Third Global Forum on the Ethics of AI held in Bangkok in 2025. It highlights UNESCO’s 2021 Recommendation and tools such as the Readiness Assessment Methodology (RAM), implemented in over 70 countries. It also emphasizes the creation of global networks for oversight and citizen participation. Arkkosoft reaffirms its commitment to transparency, inclusiveness, and privacy protection, promoting an AI that complements human capabilities within a framework of justice and equity.

IA revoluciona la industria azucarera

AI Revolutionizes the Sugar Industry

Artificial intelligence is driving efficiency and sustainability in the sugar industry by optimizing crops and energy processes. A study in Latin American Developments in Energy Engineering highlights its impact across the entire production chain. From plant monitoring to sugarcane agricultural management, AI is transforming the sector.

Liderazgo

Leadership lessons from sports for business

Effective leadership isn’t just about talent, but about knowing how to develop it. Luis Enrique reminds us that true leaders lead by example, not speeches. In tech and sales, real value lies in the unseen effort.

Sin base, no hay IA: ¿Podés confiar en tu Arquitectura de Datos?

No Foundation, No AI: Can You Trust Your Data Architecture?

Gen AI is transforming everything, but without solid data architecture, it doesn’t work.
At Arkkosoft, we know that clean, organized, and secure data is the foundation of success. Without it, AI can’t learn properly, becomes biased, or simply fails. Investing in data architecture isn’t optional — it’s essential.

FinOps

FinOps: Cloud Financial Optimization with AWS and Arkkosoft

FinOps is an emerging practice that combines Finance and Operations, focused on maximizing business value in hybrid and multi-cloud environments. It fosters collaboration between IT, Finance, and Business teams to enable efficient financial management and optimize cloud resource usage.

Vibe coding

Intuitive Programming or “Vibe Coding”: Implications in professional software development

In contemporary software development, the informal notion of vibe coding—or intuition-based programming—has emerged. This approach does not follow structured methodologies; instead, it relies on the developer’s instinctive perception while writing code, especially in high-velocity settings or early exploratory phases. It is marked by minimal detailed planning and formal testing cycles, favoring experimentation and the system’s organic evolution according to the developer’s moment-to-moment understanding.

Latest articles

Intelligent automation: efficiency without losing control

Intelligent automation is key for companies seeking efficiency without losing control. It not only reduces costs but also redesigns processes to minimize errors, improve traceability, and enable data-driven decision-making. Unlike traditional automation, it integrates artificial intelligence, real-time analytics, and continuous learning to dynamically optimize operations. Additionally, it strengthens control by providing greater visibility and standardization. Its impact spans areas such as finance, operations, and customer service. The real value lies in automating with purpose, prioritizing critical processes and aligning them with business objectives.

The Agent Economy: when AI manages Its own money

AI agents are evolving into a new phase with the ability to act economically thanks to blockchain. They can now operate wallets, execute payments, interact with smart contracts, and manage assets without direct human intervention. This removes barriers from the traditional financial system, where they were not recognized as entities. New infrastructures are emerging, such as wallets designed for machines, temporary permissions (EIP-7702), and automated machine-to-machine payments. Real-world use cases already exist in DeFi and decentralized identity systems. However, risks remain, including key security, fraud, latency, and regulatory gaps. This convergence is redefining the financial system by enabling software to act as an autonomous economic agent.

Arquitectura Multi-Agent para implementar BIAN y habilitar Composable Banking mediante orquestación de servicios bancarios basados en APIs.

Multi-Agent Architecture for BIAN and Composable Banking

Multi-Agent architecture enables the effective implementation of BIAN (Banking Industry Architecture Network) principles by introducing an intelligent layer that orchestrates the bank’s Service Domains. Artificial intelligence agents interpret requests from customers or employees, identify intent, and coordinate interactions with banking capabilities exposed through APIs, while keeping the experience, business, and data layers decoupled. This approach also enables Composable Banking, where capabilities are built as independent services that can be dynamically combined to support different customer journeys, allowing banks to build more modular, scalable, and service-oriented platforms.

Noticia AI en Costa Rica

Enterprise AI in Costa Rica: from experimentation to competitive advantage

AI in Costa Rica has evolved from experimentation to a strategic priority. The challenge is no longer testing tools, but generating measurable impact. With strong leadership, reliable data, and integration into key processes, AI moves beyond pilot projects and becomes a sustainable competitive advantage.

2026: sin recetas universales

2026: No Universal Playbooks

In 2026, the most competitive companies will not be those that adopt the most technology, but those that use it with purpose, measurable returns, and risk control. There are no universal formulas: each organization must choose technology based on its reality, data, and priorities. Trends such as practical AI, automation, strategic data use, cybersecurity, and scalable solutions will define the year. The focus will be on a few high-impact use cases, well-prepared data, and clear governance.

acelerando la IA agéntica hacia producción

From Experiment to Impact: Accelerating Agentic AI to Production

Generative artificial intelligence has rapidly evolved from experimentation into a strategic priority. While creating proofs of concept is relatively easy, moving them into production and scaling solutions in a secure, well-governed, and business-integrated way remains a major challenge. This challenge is even greater with agentic AI, where multiple agents collaborate and require a clear strategy to avoid failures when scaling. Success depends on a lifecycle that includes ideation, value modeling, a strong data strategy, and a focus on minimal usable solutions that evolve with security and responsibility.

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