Yes — this paper is a very good source for a POS / Payments + AI post because it connects fraud detection, real-time transaction systems, explainability, compliance, and human …
46 pages
Corebaseit_posts_in_reviews
Below is a strong first white-paper draft you can adapt for CorebaseIT, LinkedIn, or a longer PDF. I grounded it in the IEEE article ENWAR: A RAG-Empowered Multi-Modal LLM …
Post 1 — The Problem Topic Why vanilla LLMs are not enough for payments Core idea LLMs are impressive, but payments are a high-trust, regulated, latency-sensitive domain. A generic …
Post 2 — The Architecture Topic How RAG turns an LLM into a payment-aware assistant Core idea RAG gives the model access to fresh, domain-specific evidence before it answers. Angle …
Post 3 — The Practical Use Cases Topic Where AI can actually help POS, SoftPOS, and e-commerce Core idea The most realistic value is not “AI approves payments.” It is AI helping …
Manual capture is the practice of splitting a card transaction into its two underlying phases and controlling the second one explicitly, rather than letting them fire together. …