This topic surveys AI and blockchain tools aimed at institutional finance and payments: platforms for building and deploying models, agentic automation for operational workflows, governance and compliance frameworks, market‑intelligence capabilities, and post‑quantum‑ready blockchain primitives for payment rails. It is focused on the intersection of model lifecycle management, transaction integrity, and cryptographic resilience that financial institutions require. Relevance as of 2026: regulatory scrutiny of deployed AI, stronger model‑risk and vendor‑governance expectations, and accelerating interest in post‑quantum cryptography for payment infrastructure make these tool categories timely. Institutions must pair scalable model platforms with governance, observability, and vendor controls while preparing settlement and custody systems for future quantum risks. Key tools and categories: Vertex AI and IBM watsonx Assistant represent enterprise model infra and virtual‑agent capabilities for training, deployment, and customer automation. No‑code/low‑code platforms (StackAI, Relevance AI) and agentic infrastructures (Xilos) enable rapid assembly of multi‑agent workflows for reconciliation, trade operations, and payments processing. Monitaur exemplifies AI governance and policy orchestration for regulated firms, centralizing monitoring, validation, and vendor governance. Bookeeping.ai addresses routine accounting and reconciliation automation for back‑office efficiency. Crescendo.ai illustrates customer‑facing AI with human‑in‑the‑loop guarantees useful for dispute resolution and client service. Post‑quantum blockchain tools and standards are treated as a separate but overlapping requirement to future‑proof settlement, custody, and cross‑border rails. Procurement priorities include auditability, explainability, integration with core payment systems, vendor risk controls, and cryptographic standards compliance. Together these tool categories form a practical stack for reducing operational risk, meeting evolving regulation, and improving automation across institutional finance and payments.