Fintech and Agentic AI: How AI Agents Are Transforming Financial Technology Companies

Artificial intelligence models and the general curiosity about their use cases are among the most discussed topics of today. Having established ventures in financial technology and digital entertainment for years, and having encountered various problems in the ventures I've founded, I wanted to share how artificial intelligence, agentic models, and how these models can transform financial technology companies in the fintech world. AI models that are rapidly growing and getting integrated into our lives and they are not experimental anymore. AI models and integrity with financial technologies are simply amusing, although the role of humans seems to be losing importance I highly believe that is not the case as human becomes a control mechanism, leave the job to an agent, and following/approving the job gets done by an agent. From an approach perspective, I see the fundamental purpose of an agentic structure/workflow is covering entry-level and slightly above-entry-level tasks and getting confirmation from a human control mechanism to move to the next task. Basically, agents can stop crowded communication loops and minimize the chaos inside and outside.

Developing an agent or using an AI model to handle a job/task is not the hard part here. What's needed at this point is having a platform to deploy your agent into live environments and working on a platform that provides an agentOS and an AI Framework to develop, deploy, manage, monitor, maintain, and improve your agentic workflows. Upsonic is providing you what's needed and allowing your team to not just work on a test environment but move your agents into live within minutes.

While we develop our agentOS and AI Framework, we also started to bring our agentic workflows into live environments for fintech companies, and the results for those companies are simply amazing. Our agentOS, AI Framework, and the agentic workflow helping those companies to lower complexity, improve efficiency, and make it easier to scale up when needed.

The relationship between artificial intelligence models that are rapidly integrating into our lives, moving beyond being experimental, and financial technology is truly fascinating. In agentic structures that have an approach capable of completely changing our perspective on various tasks we've been doing with human power for years, although the role of humans seems to be losing importance, this is not the case. Not just in our country, but worldwide, the role of humans is being redefined, and this role now involves leaving certain entry-level tasks to an agent and taking on the control mechanism.

From an approach perspective, I see the fundamental purpose of agentic structures as entry-level and slightly above entry-level tasks. I'm among those who believe and work on the premise that with proper modeling and interaction design, agents will replace crowded teams as bundles, which is the company's fundamental problem.

Essentially, we have certain requirements to be able to model agents on a platform, deploy them to live environments, manage these agents, and ensure that agential communication is properly established, and being part of a venture that I believe meets these requirements makes me very happy.

Open-Source AI Agent Orchestration for Fintech

As Upsonic, we didn't just develop a platform to introduce the financial technology world to agentic structures; we published it as open source so that this platform becomes one of the pioneering platforms worldwide, and offered it for anyone who wants to use and contribute to it. With the platform Upsonic offers, it helps you control your agentic structures, properly manage your costs for any agent, and control the entire process from development to deployment, from maintenance to improvement, all from one place.

So what does this fundamental body of knowledge mean for banks, e-money companies, payment institutions, and financial technology companies? What do we achieve with agent orchestration and human control? Which of our tasks does it provide convenience for? What is the importance of agents in our workflows and daily routine tasks?

The answer is quite simple, as most of us can predict. If we can get rid of our daily repetitive tasks, we can both increase our productivity and minimize human error by entrusting these repetitive tasks to a language model that has learned them, and by placing a human at the control point, we can eliminate the chaos created by a large crowd and the communication chaos that crowd would create, because our agents do their work silently and inform the human they need for approval, waiting for action guidance.

From Onboarding Process to PF Registration: End-to-End Automation

Imagine that all processes from onboarding to landing, from landing to PF registration, from settlement to periodic control, and even the creation of risk charts are done by agents, and that there are competent humans at control points for all these processes. This is exactly what we focus on as Upsonic. We continue to work on identifying the fundamental needs of financial technology companies, where productivity needs to increase, and how to do this in the best way. The outputs we obtain and other leading structures worldwide show us that we are on the right path, and we continue to perfect both our platform and our agentic workflows to position our structure as a leader worldwide. If you want to get information about what we do, what we plan, and where we position ourselves, you can both visit upsonic.ai and contact our team directly.