Essays from the floor.
Operator's notes on AI, automation, and the quiet work of running real systems. Updated as we publish.
All articles
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Strategy — Essay
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AI and the Cost of Knowledge
When expertise becomes abundant, the organizations that win operationalize judgment — not just information. -
Technology
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What is agentic AI?
Software that doesn't wait for your prompt — it watches a workflow, reaches a decision point, and acts. -
Strategy
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Why AI projects fail
MIT found that 95% of AI pilots produce no measurable business impact. The failure isn't the technology — it's workflow fit. -
Technology
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Why your no-code AI agent isn't working
Five failure modes that kill no-code agents in production operations. -
Strategy
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Platform AI vs. custom build
A fair comparison framework for choosing between platforms and managed services. -
Finance
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The CFO's guide to AI platforms vs. services
TCO, time-to-value, and risk-adjusted ROI — the financial case. -
Finance
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The CFO's guide to AI deployment
Most AI business cases get rejected not because the ROI isn't there — but because the financial rigor isn't. -
Technology
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The new economics of custom software
Custom software used to mean six-figure budgets and 18-month timelines. AI collapsed both. -
Strategy
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Building for the mid-market
Why the mid-market is where AI pays back first — and what to build for it. -
Strategy
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Choosing an AI partner
The wrong partner builds something impressive that doesn't get used. The right one starts with your workflow. -
Framework
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Performance-based AI
When AI handles the volume work, your performance metrics become obsolete overnight. -
Finance
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How to measure AI ROI
Most AI ROI calculations fail before they start because organizations skip the baseline. -
Operations
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The operator's edge
Engineers build features. Operators build workflows. The best AI systems need both. -
Leadership
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What to tell your team about AI
More than 90% of your employees already use AI personally. The real risk isn't replacement — it's trust erosion. -
Leadership
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AI innovation: the executive playbook
A practical guide to deploying AI that actually changes how the work gets done. -
Operations
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Operational intelligence at scale
From reactive dashboards to systems that surface decisions before you ask. -
Data
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The integration imperative
Traditional data integration is brittle. AI-managed integration adapts. -
Risk
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Governance as a competitive advantage
Companies that build trust into AI deployment will move faster than those that don't. -
Risk
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Compliance by design
Retrofitting compliance into an AI system costs six figures. Building it in from day one adds days. -
Framework
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From automation to autonomy
Most companies stop at faster. The real shift is routine decisions.