insights
Thinking on AI in practice.
Analysis, frameworks, and field notes from practitioners who work with AI in real organizations. No hype. No tutorials for beginners. Just useful thinking for people doing the work.
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AI Fundamentals
Tools & Workflows
Strategy
Ethics & Governance
AI Fundamentals
· [PLACEHOLDER DATE]
[PLACEHOLDER INSIGHT TITLE — How to audit your current marketing workflows before introducing AI]
[PLACEHOLDER EXCERPT — A framework for identifying which workflows are ready for AI augmentation and which need process fixes first.]
[PLACEHOLDER AUTHOR]
Tools & Workflows
· [PLACEHOLDER DATE]
[PLACEHOLDER INSIGHT TITLE — The finance team's guide to evaluating AI tools without a data science background]
[PLACEHOLDER EXCERPT — What to look for, what to ignore, and how to run a 30-day pilot that produces a real answer.]
[PLACEHOLDER AUTHOR]
Strategy
· [PLACEHOLDER DATE]
[PLACEHOLDER INSIGHT TITLE — What a realistic enterprise AI roadmap looks like in year one]
[PLACEHOLDER EXCERPT — Three things most organizations get wrong in their first 12 months of AI adoption — and how to avoid them.]
[PLACEHOLDER AUTHOR]
Ethics & Governance
· [PLACEHOLDER DATE]
[PLACEHOLDER INSIGHT TITLE — Why your AI governance policy is probably too vague to be useful]
[PLACEHOLDER EXCERPT — The five things every AI policy document must actually specify to change behavior.]
[PLACEHOLDER AUTHOR]
AI Fundamentals
· [PLACEHOLDER DATE]
[PLACEHOLDER INSIGHT TITLE — The difference between AI fluency and AI hype resistance]
[PLACEHOLDER EXCERPT — Knowing how AI works is only half the skill. The other half is knowing which claims to ignore.]
[PLACEHOLDER AUTHOR]
Strategy
· [PLACEHOLDER DATE]
[PLACEHOLDER INSIGHT TITLE — Supply chain planners are the quiet winners of enterprise AI adoption]
[PLACEHOLDER EXCERPT — Why the conditions in supply chain planning — structured data, clear objectives, repetitive decisions — make it AI's most favorable enterprise terrain.]
[PLACEHOLDER AUTHOR]