AI in Financial Services
AI in financial services isn’t new. Banks, insurers, and capital markets firms have been using machine learning for years to detect fraud, assess risk, and automate workflows.
What’s changed is how much more broadly and quickly it can now be applied.
With the rise of large language models, AI is no longer limited to structured data and narrow use cases. It can now interpret documents, support decision-making, and interact directly with both employees and customers. That shift is accelerating adoption across the industry.
Today, financial services sits near the top of all industries in both AI investment and expected impact. Roughly 35% of work can be fully automated, with another 35% significantly augmented.
But like most AI initiatives, the challenge isn’t recognizing the potential. It’s understanding where that value actually shows up and how to capture it in practice.
In a recent webinar, Dr. Tim Oates, Co-founder and Chief Data Scientist at Synaptiq, explored where AI is delivering the most impact in financial services today, and what it takes to implement it effectively.