Banking software x AI whitepaper
Gated Report
MIT's Project NANDA, in its 2025 report The GenAI Divide, found that roughly 95% of enterprise generative AI pilots deliver zero measurable return, and the cause sits underneath the model. Data engineering, governance and integration are most of the work. Model choice is a small part of it. Could an agent run your highest-volume workflow today, from start to finish, through your APIs? If the answer is no, this whitepaper explains why and what to do about it. It explains what your core has to do before any of your AI plans can reach customers.
What's inside
- Why pilots stall
- What software needs from a core
- Read, act, own: a simple way to judge any core, including ours
- How Salmon entered the Philippine market, went live in six months, scaled nationwide and bought a bank on this architecture
- Get ready for BSP and OJK
- Where you stand
Who this whitepaper is for: CEOs, CTOs, COOs, product and risk leaders at digital banks and digitally led lenders in the Philippines, Indonesia, Nigeria and beyond.