Day #1 at The Global Fintech Fest far exceeded our expectations. It is indeed more than just a large scale networking event, it's where needle-moving conversations about the future of finance actually happen.
Had the pleasure of meeting Mr. Ilancheliyan V, Joint Director at the Financial Intelligence Unit (FIU-IND), Mr. Anuj Bhansali, Head of Trust & Safety at PhonePe and Mr. Juspal Manic, Chief Revenue Officer at Featurespace, after their insightful session on "FATF, Fintech & India's AML Regime: Are We Ready for Global Standards?"
Key takeaways that resonated deeply with us:
- It is time to move beyond rule-based systems for detecting fraud and AML activity and embrace machine learning–driven, explainable intelligence.
- At India scale, keeping fraud rings at bay is impossible without collaboration between the different contributors who open up unique dimensions of understanding
What is still a puzzle for even the regulators, is input data for cutting edge predictive AI and figuring how can the inner workings of new model frameworks be explained.
That's exactly what we're building at LattIQ
👉 Our models are trained on banks' ground truth of fraud and enriched with leading indicators from alternate user signals
👉 Early results show a staggering 40% fraud detection at signup in real time - what typically surfaces 45–60 days later
👉 Full explainability - model architecture, features, hyperparameters, and decision-level interpretability via our Explain API (SHAP/LIME and so on)
As India modernizes its AML regime, Explainable AI will be central to ensuring compliance, accountability, and trust. At LattIQ, we're proud to be a part of this shift, making fraud prevention proactive, intelligent, and transparent.
