A one-page AI opportunity assessment template with a worked example: measurable problem, ROI target, integration map, feasibility.
AI Project Selection Framework: The AI Opportunity Charter for Your First Automation Workflow
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— Blog · The Discipline Layer for AI
Field notes on doing AI the disciplined way.
Contrarian, data-grounded essays on the three things that decide whether AI pays: a sharper problem, governed data, and demand that survives the answer-engine age.
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Growth · Featured essay
AI Content Generation: From Caves to Code
The first content strategists painted on cave walls. The newest ones orchestrate agents. This essay traces the whole arc — and shows how a disciplined content engine drove 359% organic traffic growth for a B2B client by treating generation as a system, not a shortcut.
Frank Shines & Umer Qureshi · Read the essay →
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Every post strengthens one of the three foundations — Problem, Data, or Growth.
Questions to Ask an AI Consulting Firm Before You Sign
The questions to ask an AI consulting firm, plus what a good answer and a red flag answer sound like for each one.
An AI Readiness Score for Mid-Market Operations: Five Questions
A five-question AI readiness assessment for mid-market operations, scored, with what to do next at every band.
How to Build an AI Business Case Your CFO Will Approve
How to build an AI business case on a measurable baseline, with a worked ROI table and the objections finance actually raises.
Idempotent data pipelines on Databricks, plus CDC with no watermark
Build an idempotent data pipeline on Databricks: Delta MERGE on a clean key, hash-diff CDC with no watermark, and append-only archives.
Why AI Pilots Fail and What the 5 Percent That Ship Do Differently
Why AI pilots fail, ranked by real cause, and the sequencing the small share that reach production get right from the start.
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