The trade industry is at an exciting juncture. For decades, it has been viewed as a paper-based, heavily rule-defined, cumbersome, and manual process-dependent sector. Today, however, it is making rapid strides toward automation, driven by the combined efforts of regulators, bankers, technology companies, and fintechs. Laws are being enacted, new regulatory frameworks are emerging, and the push for digitization and automation has never been stronger among banks and corporates worldwide.
With clients processing transactions in over 55 countries and handling more than 4 million transactions, Traydstream is at the forefront of this transformation. We collaborate with over 50 partners across back-end trade systems, compliance aggregators, logistics providers, consulting firms, and key local corporates to accelerate the digitization of trade processes. Amid this silent revolution, the future of trade has never looked brighter.
Introducing Agentic AI: The Catalyst for Specialized Intelligence
At the heart of this transformation is Agentic AI—a leap forward in specialized artificial intelligence. Unlike generalized AI models designed to handle a wide range of tasks, Agentic AI focuses on creating multiple, smaller agents that excel in specific areas. These agents work in concert, orchestrated by a central decision-making system, to solve complex problems with greater efficiency and accuracy.
“Agentic AI represents not just an evolution but a revolution in how we approach trade finance. By leveraging specialized intelligence, we’re unlocking new levels of efficiency and precision that were previously unattainable,” says Sameer Sehgal, CEO of Traydstream.
Why Agentic AI is Essential for Trade Finance
The need for Agentic AI arises from the limitations of large language models (LLMs) and generalized AI systems. While LLMs are powerful, they can be too broad for specialized trade finance scenarios. In contrast, smaller, targeted agents can perform specific tasks more effectively. By leveraging multiple specialized systems, we achieve higher accuracy, efficiency, and adaptability—critical in complex environments where different facets of a problem require distinct solutions.
Applications of Agentic AI at Traydstream
Traydstream has seamlessly integrated Agentic AI into various aspects of our platform. One of the first live systems utilizing this technology is our false positive detection mechanism:
- Generalized LLM: Provides contextual understanding of the task.
- Dedicated Agents: Multiple specialized agents collaborate to execute and solve specific problems.
- Supporting Tools: Additional systems enhance the agents’ performance, ensuring a comprehensive approach.
This multi-agent system has significantly reduced false positives, enhancing the overall accuracy of our platform.
“The beauty of Agentic AI lies in its modular design. Each agent is a master of its domain, and when orchestrated effectively, they create a symphony of intelligent automation that drastically improves performance,” explains Stephan Hufnagl, CTO of Traydstream.
The Implementation Journey
Our journey with Agentic AI began by deconstructing tasks and identifying niche scenarios suitable for specialized agents. The key milestones include:
- Building Agents and Systems: Tailored to specific tasks, ensuring precision.
- Orchestration: A central decision-maker coordinates agent activities.
- Iterative Refinement: Collaboration between trade experts and AI engineers led to continuous system improvements.
- Data Expansion: Diversified data sources and rigorous logic flow testing enhanced reliability.
- Live Testing: Parallel runs with existing systems provided real-world feedback, fine-tuning performance.
What’s Next? The Future of Trade with Agentic AI
We are gradually rolling out Agentic AI across our customer base, closely monitoring its impact. Initial estimates indicate a 50% reduction in false positives, with continuous improvements expected as the system evolves. Our focus remains on refining the agents, expanding their capabilities, and ensuring seamless integration within our platform.
The future of trade is being shaped by real-time processing, instantaneous credit defeasance through insurance, immediate access to logistical solutions, and more. Technology is driving a convergence of industries, creating a single point of entry and access. The ultimate beneficiaries are banks and corporates embarking on this transformative journey, reaping the benefits of rationalized expenses, reduced risks, and increased revenues.
As the saying goes, “Nothing happens for centuries, but then centuries happen in a few years.” This has never been truer for the trade industry today. Agentic AI is not just a technological advancement; it is a pivotal force in the evolution of global trade.
