Why Chatbots Fail Due Diligence, and How Quoin Fixes It
A single prompt cannot replicate an analyst team. Quoin's multi-agent research architecture, 18+ specialists deep, was built to do exactly that.
Read more→Perspectives from the Quoin team on AI, research workflows, and the future of investment due diligence.
A single prompt cannot replicate an analyst team. Quoin's multi-agent research architecture, 18+ specialists deep, was built to do exactly that.
Read more→Quoin could have wrapped a chatbot around a document library and shipped it. Why Quoin chose the harder road of agentic research instead.
Read more→The enterprise AI reckoning is not an argument against the technology. It is a free education in how to evaluate it, and investment firms should take notes.
Read more→For a registered investment adviser, an AI that invents a citation is not a quirk. It is a regulatory liability. Agentic research, built to verify rather than generate, changes the risk calculus.
Read more→The numbers tell a story that should make every RIA pause. According to a 2026 Schwab study of 533 advisory firms, 63% of RIAs now use AI tools - more than double the adoption rate from 2023. Yet only about one in ten of those adopters has strategically embedded AI into their business model. The vast majority are experimenting: using generative AI for notetaking and email drafts on an ad hoc basis, without firm-wide policies, governance frameworks, or any systematic measurement of outcomes. That gap - between casual AI use and integrated AI deployment - is where the real risk lives. And for RIAs with fiduciary obligations, the risk isn't just competitive. It's regulatory.
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