Tag: AI Architecture
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Agent-First Design: Enterprise Software Has a Second User
As AI agents begin doing work on behalf of employees, enterprise software will be evaluated not only for people, but for agents that need governed access to data, actions, and workflows.
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Stop Making Users Choose How Smart Their AI Should Be
Enterprise AI should route each request to the least expensive capability that can do the job well—while preserving clear overrides for power users.
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Your AI System Has a Middle-Management Problem
Multi-agent AI systems do not fail only because the agents are not smart enough. They fail because nobody designed the management layer: routing, squads, tools, workflow graphs, and parallel execution.
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Token Discipline: The Cloud Cost Lesson Enterprise AI Is About to Relearn
Enterprise AI is about to relearn an old cloud lesson: abundance is useful, but ownership is mandatory. Token usage reveals how disciplined your AI architecture really is.