Geopolitical Risk in Credit Portfolios
Why Banks must rethink monitoring — and how AI can transform it. The question isn't whether AI can solve this. It's whether your institution is using it or still relying on tools built for a world that no longer exists.
Supercharging SME Credit Using Risk Specialised AI
The $7 Trillion Market Hiding in Plain Sight and the Banks That Will Win It
Galytix and the WEF Forum 2026: Know Risk
The front-office and Middle-office functions were built for a risk world that no longer exists. At Davos 2026, global leaders made clear: in the age of permanent volatility, the organisations that win are the ones that see risk forming—not the ones explaining it after the fact.
You Can’t Outsource Accountability: The New AI Reality for FIs
Trust is the license to operate in financial services. When AI touches credit, risk or customer data, every output must be defensible in front of an auditor, a supervisor and a client.
From Risk to Resilience: Operationalising Responsible AI in Finance
Global investments in AI now exceed billions, but behind the promise lies a growing risk. Rapid adoption attempts have exposed governance blind spots that can no longer be ignored.
“Why Will Agentic AI Succeed in Credit Automation When Past Technologies Failed?” - A COO’s scepticism that cuts through the hype
For once, the promise of AI in banking is compelling. We are examining how recent advancements in agentic AI technology have enabled a more robust, scalable, and institutionally aligned approach to transforming credit operations.
Gain the Edge: Why Financial Services Need Specialised AI Agents
AI agents can empower financial services professionals with the ability to ingest data from multiple sources, execute complex workflows, and extract insights, significantly improving productivity and decision-making.
Generic AI Can’t Write Good Analyst Research. But Credit Specialised AI Can.
Asking generic LLMs to operate like an Analyst is like expecting a secondary school kid to behave like a university finance graduate. The former can have a general understanding of business, but the latter should be able to analyse a company or sector, build a financial model and write a draft report. This is the difference between generic AI and Credit Specialised AI.
The Limits of LLMs: Why Generic AI Is Failing Financial Services
Over 95% of organisations aren’t seeing ROI from generic AI and in house builds are failing. Why? Because traditional large language models (LLMs) lack memory, learning and integration into workflows. They’re disconnected tools, great at text, poor at follow-through.
Seeing the Bigger Picture With Peer Comparison: Unlocking Insights With CreditX
Understanding a company’s credit profile in isolation can be misleading. Peer comparisons offer essential context which helps analysts distinguish true strengths from hidden risks.
We are seeking people who bring a never give-up attitude, are engineers at heart and passionate about solving hard core data related problems by applying innovative techniques.
We are seeking people who bring a never give-up attitude, are engineers at heart and passionate about solving hard core data related problems by applying innovative techniques.