Solutions
Success stories
Web Development – Agile Team
Arkkosoft offers expert developers in Azure DevOps and .Net to enhance a company’s Accounts Receivable and Payable processes.
Kölbi Web Portal Functional Upgrades
Kölbi Web Portal Functional Upgrades IndustryTelecomunications ScenarioCosta Rica CustomerInstituto Costarricense de Electricidad
Automated Technical Support with AI Agent
Arkkosoft implemented an artificial intelligence agent to automate technical support for the Automated Recharge System (SAR). This agent processes forwarded emails, generates structured tickets, and classifies cases into three categories. It uses multimodal analysis, validates data, integrates with Jira and SAR, and suggests solutions to common errors such as rejected transactions or unregistered services. The solution reduced response times by 50%, improved traceability, and significantly decreased the technical support team’s operational workload.
Technical Support
News
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: 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.
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.
Partners
