<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>SuperBrains | Notes on enterprise intelligence</title><description>Analysis of enterprise AI, institutional knowledge and the conditions under which agent systems reach production.</description><link>https://superbrains.ai/</link><language>en-GB</language><item><title>What an Air-Gapped Enterprise AI Deployment Involves</title><link>https://superbrains.ai/blog/air-gapped-enterprise-ai-deployment/</link><guid isPermaLink="true">https://superbrains.ai/blog/air-gapped-enterprise-ai-deployment/</guid><description>Air-gapped AI is asked about constantly and described precisely almost nowhere. Here is what running an enterprise intelligence layer with no outbound network route actually requires.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>Risk &amp; Compliance</category><author>Jitender Singh Shekhawat</author></item><item><title>What Frontier Intelligence Means for Enterprise AI</title><link>https://superbrains.ai/blog/what-is-frontier-intelligence/</link><guid isPermaLink="true">https://superbrains.ai/blog/what-is-frontier-intelligence/</guid><description>Frontier models hold general intelligence. Frontier intelligence is institutional: the knowledge, judgement and procedure of one enterprise, working above the model. Here is what that means in practice and why it changes the economics.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>Enterprise AI</category><author>Jitender Singh Shekhawat</author></item><item><title>Why Your Enterprise AI Bill Grows Every Month While Capability Stays Flat</title><link>https://superbrains.ai/blog/why-enterprise-ai-costs-grow/</link><guid isPermaLink="true">https://superbrains.ai/blog/why-enterprise-ai-costs-grow/</guid><description>Enterprise AI spend compounds. Enterprise AI capability usually does not. The reason is architectural, and it is the half of the problem most knowledge-layer arguments never address.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>Enterprise AI</category><author>Jitender Singh Shekhawat</author></item><item><title>AI Agents for Regulatory Compliance: Why Context Is the Bottleneck</title><link>https://superbrains.ai/blog/ai-agents-for-regulatory-compliance/</link><guid isPermaLink="true">https://superbrains.ai/blog/ai-agents-for-regulatory-compliance/</guid><description>AI agents are being deployed across compliance functions at speed. The bottleneck is not model quality. It is the institutional context that makes the difference between a generic compliance tool and one that reflects how your organisation actually operates.</description><pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate><category>Risk &amp; Compliance</category><author>Jitender Singh Shekhawat</author></item><item><title>Why Basic RAG Fails Enterprise Workloads</title><link>https://superbrains.ai/blog/why-basic-rag-fails-enterprise-workloads/</link><guid isPermaLink="true">https://superbrains.ai/blog/why-basic-rag-fails-enterprise-workloads/</guid><description>Retrieval-augmented generation works well in demos. In production enterprise environments, basic RAG fails in predictable ways that more sophisticated document intelligence solves. Here is what those failure modes look like.</description><pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate><category>Enterprise AI</category><author>Jitender Singh Shekhawat</author></item><item><title>What Are AI Agent Skills? The Missing Layer in Enterprise AI</title><link>https://superbrains.ai/blog/what-are-ai-agent-skills/</link><guid isPermaLink="true">https://superbrains.ai/blog/what-are-ai-agent-skills/</guid><description>AI agents can answer questions and generate content. Skills are what let them execute work: following the specific procedures, decision rules, and methods your organisation actually uses. Here is what they are and why they matter.</description><pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate><category>Enterprise AI</category><author>Jitender Singh Shekhawat</author></item><item><title>How to Measure Enterprise AI ROI Before Scaling</title><link>https://superbrains.ai/blog/how-to-measure-enterprise-ai-roi/</link><guid isPermaLink="true">https://superbrains.ai/blog/how-to-measure-enterprise-ai-roi/</guid><description>Most enterprise AI ROI calculations are built on demo performance, not production reality. Here is a framework for measuring what AI delivers in production, including the costs most calculations ignore.</description><pubDate>Sun, 14 Jun 2026 00:00:00 GMT</pubDate><category>Enterprise AI</category><author>Jitender Singh Shekhawat</author></item><item><title>The Consulting Firm&apos;s Guide to AI That Compounds</title><link>https://superbrains.ai/blog/ai-for-consulting-firms/</link><guid isPermaLink="true">https://superbrains.ai/blog/ai-for-consulting-firms/</guid><description>Most consulting firms are using AI as a productivity tool. The firms pulling ahead are using it as a knowledge infrastructure. Here is what the difference looks like, and why it matters more every month.</description><pubDate>Fri, 12 Jun 2026 00:00:00 GMT</pubDate><category>Professional Services</category><author>Jitender Singh Shekhawat</author></item><item><title>Why Your Company Knowledge Base Is Failing Your AI Agents</title><link>https://superbrains.ai/blog/why-your-knowledge-base-fails-ai-agents/</link><guid isPermaLink="true">https://superbrains.ai/blog/why-your-knowledge-base-fails-ai-agents/</guid><description>A knowledge base built for human search does not work for AI agents. Here is what needs to change, and why most companies discover this too late.</description><pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate><category>Enterprise AI</category><author>Jitender Singh Shekhawat</author></item><item><title>AI Agents in Lending, Collections and Client Management</title><link>https://superbrains.ai/blog/ai-agents-in-financial-services/</link><guid isPermaLink="true">https://superbrains.ai/blog/ai-agents-in-financial-services/</guid><description>Lending, collections, relationship management and portfolio work all depend on knowledge that is never written down. Here is why AI agents deployed into those functions plateau, and what closing the gap requires.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>Financial Services</category><author>Jitender Singh Shekhawat</author></item><item><title>How to Capture Institutional Knowledge Before It Walks Out the Door</title><link>https://superbrains.ai/blog/how-to-capture-institutional-knowledge/</link><guid isPermaLink="true">https://superbrains.ai/blog/how-to-capture-institutional-knowledge/</guid><description>Most companies lose institutional knowledge faster than they capture it. Here is a practical framework for extracting what experienced people know, and making it available to AI agents and the teams that follow them.</description><pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate><category>Knowledge Management</category><author>Jitender Singh Shekhawat</author></item><item><title>Why Your AI Agents Have No Memory, and What It Costs</title><link>https://superbrains.ai/blog/why-ai-agents-have-no-memory/</link><guid isPermaLink="true">https://superbrains.ai/blog/why-ai-agents-have-no-memory/</guid><description>Every time your AI agent starts a new session, it forgets everything it knew about your company, your clients, and your decisions. Here is why that is a structural problem, and what fixing it actually looks like.</description><pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate><category>Enterprise AI</category><author>Jitender Singh Shekhawat</author></item><item><title>What Enterprise AI Knowledge Management Requires</title><link>https://superbrains.ai/blog/what-is-enterprise-ai-knowledge-management/</link><guid isPermaLink="true">https://superbrains.ai/blog/what-is-enterprise-ai-knowledge-management/</guid><description>Enterprise AI knowledge management is not a search engine or a chatbot. It is the system that decides how much of your company&apos;s intelligence your AI agents can actually access and act on.</description><pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate><category>Enterprise AI</category><author>Jitender Singh Shekhawat</author></item><item><title>Why Professional Services Firms Need an Intelligence Layer</title><link>https://superbrains.ai/blog/why-professional-services-firms-need-an-intelligence-layer/</link><guid isPermaLink="true">https://superbrains.ai/blog/why-professional-services-firms-need-an-intelligence-layer/</guid><description>Professional services firms sell knowledge that lives in people. That makes them uniquely exposed when those people leave, and uniquely well placed to benefit from a layer that retains what the firm already knows.</description><pubDate>Thu, 14 May 2026 00:00:00 GMT</pubDate><category>Professional Services</category><author>Jitender Singh Shekhawat</author></item><item><title>Why 95% of Enterprise AI Pilots Fail to Scale</title><link>https://superbrains.ai/blog/why-95-percent-of-ai-pilots-fail/</link><guid isPermaLink="true">https://superbrains.ai/blog/why-95-percent-of-ai-pilots-fail/</guid><description>An MIT study reported in August 2025 found that 95% of enterprise generative AI pilots never scale beyond the initial experiment. The primary cause is not the technology. It is the missing layer between company data and the agents that draw on it.</description><pubDate>Sun, 10 May 2026 00:00:00 GMT</pubDate><category>Enterprise AI</category><author>Jitender Singh Shekhawat</author></item></channel></rss>