Blogs
Stories, Ideas & Insights
Explore ideas, strategies, and industry knowledge to help you stay informed and inspired.
How I Built an Explainable AI FinTech Platform from Glasgow and Got Select...
As I studied financial systems, I became increasingly interested in how artificial intelligence was being used in areas such as fraud detection, credit risk assessment, and investment analysis. The more I learned, the more I noticed a recurring chall....
Making Financial AI Explainable: The Story Behind Fasai.uk
A model may reject a loan application, flag a transaction or identify a customer as high risk, but simply producing a score does not explain what led to that result. For analysts, compliance teams and regulators, understanding the reasoning behind an AI decision can be just as important as the decision itse.....
Building Explainable AI for Financial Crime Detection Using XGBoost, SHAP and LIME
Financial crime detection is one of the most important applications of machine learning in financial services. While many AI models can identify suspicious transactions with high accuracy, understanding why a transaction has been flagged.....
Why Explainable AI Matters for the Future of UK Financial Services
Across the UK, financial institutions are using machine learning models to make decisions that affect millions of people. These decisions include credit approvals, fraud alerts, investment recommendations and risk assessments. The technology is becoming more sophisticated, faster ....
Building a FinTech AI Startup in Glasgow Without Funding: Lessons From Building Fasai.uk
When I started building Fasai.uk, I did not have external funding, a co-founder, or a large team. I had a laptop, my academic background, and a strong interest in solving a challenge I kept seeing in financial technology....
