CKChrisma Kaynesinagentic-ai-workflow.hashnode.dev·Sep 24 · 5 min readAI in Wealth Management: Why a Smart Demo Is Still Far From a Production ProductAI demos in wealth management have become surprisingly easy to build. Connect a language model to portfolio data, add a conversational interface, and suddenly an adviser can summarize holdings, prepar00
CKChrisma Kaynesinagentic-ai-workflow.hashnode.dev·Sep 8 · 4 min readAutonomous AI Agents Are Moving From Chat Interfaces to Operational SystemsFor the last few years, enterprise AI has largely been judged by how well it answers a prompt. That benchmark is becoming less useful. The more important question is whether an AI system can understan00
CKChrisma Kaynesinagentic-ai-workflow.hashnode.dev·Aug 25 · 4 min readClinical Trial Software Is Becoming an Operational Control System, Not Just a TrackerClinical trial management software is often discussed as a collection of modules: study setup, site management, reporting, budgeting, documents, and dashboards. That framing is becoming outdated. This10
CKChrisma Kaynesinagentic-ai-workflow.hashnode.dev·Aug 13 · 4 min readWhy Real-Time AI Fails When Enterprise Architecture Cannot Keep UpReal-time AI is often treated as a model-selection problem. In practice, the model may be the least complicated part of the stack. A recent GeekyAnts article argues that enterprises can invest in stro00
CKChrisma Kaynesinagentic-ai-workflow.hashnode.dev·Jul 24 · 4 min readCan Your Data Infrastructure Support Your AI Ambition?Enterprise AI programs rarely fail because a team cannot build a convincing prototype. They fail when the prototype meets production data, fragmented ownership, legacy integrations, and operational co11N
