AI can replace interfaces but not systems of record. The database commit is where intent becomes enterprise reality – and that boundary matters more than ever.
Tag: Agentic
Agentic systems do not wait for instructions. They plan, act, and iterate autonomously, often making multiple decisions in rapid succession.
This changes the shape of demand placed on underlying systems. What was once human-paced and predictable becomes continuous, parallel, and difficult to anticipate.
The Hidden Cost of Letting AI Agents Query Live Systems
AI agents querying live databases generate unplanned load that breaks enterprise performance assumptions. This article explains the hidden cost for systems of record.
Why We Spent 20 Years Protecting Databases from Analytics (and Why AI Just Broke That Truce)
For two decades, DBAs protected production databases from analytics workloads. AI agents have ended that truce and the consequences go deeper than most realise.
AI Doesn’t Read Dashboards… and That Changes Everything for Databases
AI agents bypass dashboards and query databases directly. This article explains what that means for the architecture of enterprise data systems and systems of record.
Databases Were Built for Humans – AI Agents Change the Equation
Databases were designed for human-paced interaction – sessions, think time and deliberate intent. AI agents remove all three assumptions simultaneously.
Inferencing Is a Database Problem Disguised as an AI Problem
AI inferencing is a database problem disguised as an AI problem. Real-time model workloads expose latency and concurrency demands that enterprise storage wasn’t designed for.





