A Valutics Signal Brief  Opening Insight   Enterprises lose more knowledge than they realize. People take context, judgment, nuance, and institutional memory with them when they change roles, leave the organization, or shift priorities. Traditional documentation doesn’t capture this expertise. Neither do static playbooks or training materials.  Digital doubles — AI systems designed to mirror how experts think, decide, and interpret context — offer a fundamentally different

A Valutics Signal Brief  Opening Insight   Co-pilots have introduced a useful shift in how people work with AI. They assist, suggest, and accelerate tasks. But co-pilots stop short of something enterprises increasingly need: systems that can reason, interpret context, coordinate steps, and operate with guardrails across entire workflows.  The next era of enterprise AI will be defined not by assistants, but by reasoning agents — systems designed to handle structured decision

A Valutics Signal Brief  Opening Insight   Most AI strategies look impressive on slides — polished architectures, bold aspirations, and roadmaps that seem to connect everything. But the truth is simple: most AI strategy decks fail because they are written for presentation, not for execution. They describe where the enterprise wants to go without explaining how the organization actually thinks, decides, funds, governs, or works.  An AI strategy that doesn’t account for the r

A Valutics Signal Brief  Opening Insight   Many enterprises are rolling out retrieval-augmented generation as the “responsible” way to use generative AI. The idea is appealing: instead of letting a model improvise, ground it in your own documents. On paper, that sounds like an answer to hallucinations and control risks.  The reality is more complicated. Most RAG initiatives quietly assume that any retrieval is good retrieval. If the content you retrieve is noisy, stale, poo

A Valutics Signal Brief   Opening Insight   Most leaders still talk about AI hallucinations as an accuracy problem. In reality, they are a trust problem, a governance problem, and a hidden cost problem. A single fabricated citation or invented fact rarely breaks an AI program on its own.  The real damage comes from what happens after: the rework, the doubt, the shadow processes, and the defensive controls that quietly accumulate. Over time, these responses drain value, slow