The AI Value Stream: Why the System Matters More Than the Model
Explore the AI value chain: how the system architecture, trusted surface, agent harness, and integration determine where AI creates real value and profit.
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Enterprise Architecture for AI
Architecture guidance for AI platforms, value streams, integration, agent harnesses, paved roads, and the durable enterprise systems around models.
Models are only one layer of an enterprise AI capability. These articles examine the surrounding value stream, platform, integration, governance, and operating architecture that make AI dependable at scale.
See the whole AI system
Map the value stream and the architectural layers between a model and a trusted business outcome.
Why AI Needs a Harness
What is an AI Agent Harness? This essay explains why the real advance in AI is not just better chatbots, but the orchestration layer that lets models use tools, verify work, respect guardrails, and operate...
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What IT Looks Like in an Enterprise Where AI Is Assumed
What does IT become in an enterprise where AI is assumed? This essay explains why the future of IT is central engineering: shared platforms, paved roads, governance, production gates, and trust at scale.
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Design integration and interaction
Choose the right boundaries for agents, tools, workflows, APIs, and human decisions.
MCP's 2026 Roadmap: From Agent Integration Standard to Production Connectivity Layer
What is on the MCP 2026 roadmap? This post explains how the Model Context Protocol is evolving into a production connectivity layer for AI agents, with stateless transport, server discovery, tasks, enterprise auth, triggers, streaming,...
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Before You Reach for AI, Ask What Job Needs Doing
How do you choose between a chatbot and an AI agent? Start with the job to be done. This enterprise framework shows when the real problem is uncertainty, manual effort, or both.
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Agents Don’t Click
Agentic workflows shift software away from UI-centric click paths toward policy, permissions, audit logs and agent-grade APIs — turning many screens into generated receipts and approval gates.
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Build durable enterprise foundations
Connect platform engineering and systems thinking to reliability, strategy, and long-lived organizational capability.
From Industrial-Age Utility to AI-Centric Utility
AI‑centric utility strategy: opinionated platforms, edge‑to‑cloud data fabric, Mechanics & Drivers model, and TTE ≤ 18 months to cut latency, risk, and handoffs.
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The Skill that Outgrows the Tool
In 2026, tool mastery won’t secure your career. Enterprise thinking and AI-driven business problem solving will.
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Rooted in Resilience
Discover how AI is transforming enterprise SaaS and learn strategies for utilities and large enterprises to navigate the shift from static software to dynamic, AI-driven solutions.
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