TribalScale

Most companies buy AI the way they buy software, then count seats. Capacity is the number that matters: how much work gets delivered, and who is accountable when it does. People keep the judgment. Agents take bounded work, with a clear point where it hands back. Read our newest piece: hubs.la/Q04D97MK0 #AIAgents #AINative #EnterpriseAI #FutureOfWork

AI lands on the credit memo. The memo gets faster. The file still waits on verification. Still routes to exceptions the same way. Still needs the same approvals. Redesign starts from the outcome: → Which steps exist because the outcome needs them → Which exist because two systems couldn’t talk → Where an agent acts without a person waiting → Where someone has to approve Sheetal’s full piece on the AI-native enterprise at hubs.la/Q04CSK-h0

Nobody told the agent to get an access token. It worked out that one existed, and asked. Anthropic disclosed it. The gate held. The agent found a path nobody had closed. Full piece in this week’s Navigator. Subscribe at hubs.la/Q04CCrPH0 #AIAgents #AIGovernance #EnterpriseAI

89% of organizations use AI. About 6% see significant financial impact. McKinsey went looking for what separates them and landed on the CEO, not the CIO. Three choices that don’t move down the org chart. Ambition. Architecture. Culture. You cannot delegate becoming an AI-Native Enterprise. #AILeadership #AITransformation #EnterpriseAI

Your next customer won’t visit your website. Their agent will. Amazon is blocking AI shopping agents from completing purchases. Walmart announced a front door for them: an identity per agent, spending caps, no access to payment data, returns still apply. Those terms were written for a buyer that is software. Most products still assume a person reading the screen, clicking approve, and explaining what went wrong. Shutting agents out delays the redesign. It doesn’t cancel it. Rebuilding a product around a customer that is software is the work. It’s what we build. #AgenticAI #AgenticCommerce #EnterpriseAI #AINativeEnterprise

The data underneath an AI pilot decides whether it ever ships. Gartner asked data management leaders in 2025 whether their organizations had the right data management practices for AI. 63% either did not have them or did not know. Gartner also predicted that 60% of AI projects without AI-ready data would be abandoned through 2026, and that year is nearly over. So before the next pilot gets funded, name the data it needs and who owns it, then say whether anything feeds that data into a production system today. #EnterpriseAI #AIReadyData #ProductionAI #TribalScale

A renewal is at risk. Your CRM has the contract value and the close date. It does not have the concern the customer raised on last week’s call, or the workaround engineering promised them. That context exists. It is in a meeting recording, a Slack thread, and the head of one person who has been here for years. Then the AI assistant gets rolled out and cannot answer basic questions about how the business runs. The model is not the limit. It has never been given what the company knows. Sheetal Jaitly calls the fix a Company Brain: a governed knowledge and context layer that people and authorized agents can both use. Full piece: hubs.la/Q04C0Pnw0 #AI #EnterpriseAI #AINative #KnowledgeManagement

Only 46% of AI proofs of concept reach production (IDC / Lenovo CIO Playbook 2026). The rest got a demo day. A screen, a rising chart, a room that clapped. That is AI theatre. AI-Native teams build the one that matters into real data, real systems, real owners from day one. Fewer demos. More shipped. #AINativeEnterprise #EnterpriseAI #ProductionAI #TribalScale