AI in finance is transforming how financial organisations operate and compete: from automated trading systems to improved risk management, AI's role continues to grow rapidly.
Yet, while many think of AI as a technology set to replace humans, the truth is that it has long been central to financial services (and many of us still have a job!).
Indeed, in this post, our goal is to demonstrate how AI can be integrated practically into financial workflows and used to improve efficiency and decision-making.
What Can AI in Finance Really Do?
It’s easy to think that AI is a relatively new invention. After all, it’s only these past few years that AI has become something we all talk about. Yet the truth is that it’s existed for a while... What’s changed over now, however, is that advanced models have become capable of interacting with humans more intuitively.
In finance, this means that it’s now able to deliver real results by addressing challenges and unlocking its full potential.
Here’s how.
Analytics: AI can now collect, process, and read large datasets in mere minutes, helping to generate insights that would take humans weeks to put together. Even so, speed is less important than correctness here, especially for decisions that impact financial outcomes. This is why AI has been taught to balance computing time with reliability when it comes to financial analytics.
Trading: In today’s financial markets, time is of the essence. Thankfully, AI can quickly analyse data and trade on your behalf. This trading is based on informed predictions made on terabytes of backtesting and live trading data that cover everything from trends to volatility. Among other things, it can also help with mirror trading.
Operations: AI can easily be used to automate tasks like statement reconciliation and document parsing, which notoriously take employees ages to finish. Yet, since accuracy is particularly critical to operational workflows, AI is often used to assist rather than replace established procedures.
The Wakett Approach to AI in Finance
AI in finance offers incredible opportunities, but realising its benefits requires a realistic approach.
At Wakett, we believe in practical, performance-driven AI integration, which is why, from a technical perspective, the Wakett Box is built to support AI integration in a robust and flexible way.
Indeed, its architecture enables two-way communication between external AI models and our core engine, which mean it can:
- prepare and organise the data needed for the model
- Send it to the AI model for processing
- Wait for the output
- And then continue the next action in the trading or analytics process based on the results.
This setup allows you to plug in external models—be they pre-trained or adaptive—and use them effectively in real-time environments with clear control over latency and workflow sequencing.
In other words, we create custom solutions that blend speed, accuracy, and flexibility tailored to each firm’s needs and risk appetite.
Are You Ready to Integrate AI with Wakett?
We are committed to turning AI’s potential into measurable, impactful results.
So, if you’re ready to see how AI can give your organisation a competitive edge, get in touch with us today!