Author
Pedro Camacho
Pedro Camacho

Software • Feb 25, 2026

NEARSOFT Agent AI Platform: From Research to Production

NEARSOFT Agent AI Platform: From Research to Production
The financial industry is experiencing a moment of enormous expectation around artificial intelligence. The promises are ambitious and the pressure to adopt is real. But between vision and execution there is still a considerable gap, and it is in that gap that it is decided who truly moves forward. 

Expectation vs. Reality 


There is no shortage of promises about what AI will do for banking. But the reality on the ground is that most institutions still operate with reactive models. Teams deal with alerts that are difficult to prioritise, the correlation between technical anomalies and business impact still relies largely on manual analysis, and dashboards show what happened, rarely what is about to happen. 

Transforming scattered data into actionable intelligence, in real time, within a regulated and complex environment like banking, requires more than good intentions. It requires architecture, maturity and time to test before launching. 


From Research to Production 


That was precisely NEARSOFT’s approach. While expectations were growing, the company chose to invest in depth first. During the second half of 2025, an internal team dedicated itself to rigorously testing AI technologies, understanding what truly worked in real banking environments and what needed more time. 

The result was presented in the last week of January 2026, the most important step NEARSOFT has taken in this area. The NEARSOFT Agent AI Platform was demonstrated in real time, on banking data, as a fully functional platform. Autonomous agents for anomaly detection, trend analysis, risk, compliance and customer behaviour, operating continuously on NEARSOFT’s modular architecture and natively integrated with 360 Analytics V2. Not isolated alerts, but contextualised intelligence, delivered through multiple notification and analysis channels that the institution already uses.

Nearsoft Agent Ai Architecture


Investing Without Being Locked In 


There is a legitimate concern in any AI investment decision: what if today’s technology is obsolete tomorrow? NEARSOFT’s answer is a granular architecture. Each agent is an independent unit, with its own lifecycle, technology and models. Agents built with completely different approaches can coexist without conflict. When something better emerges, one agent can be replaced or evolved without touching the rest. 

The investment is incremental and reversible. No technology decision is permanent at the individual agent level. The risk of obsolescence ceases to be a blocker and becomes simply part of natural evolution. 


The Question That Remains 


For those looking to move forward in AI with confidence, the criterion should be twofold: that it works today, and that it does not constrain tomorrow’s choices. 

It was with this conviction that NEARSOFT presented the Agent AI Platform in the last week of January. Less promise, more engineering. And this is just the beginning, more news in this area will follow soon.