Practical AI notes for operating teams.
Articles on where AI actually fits inside procurement, finance, supply chain, and internal workflows.
Latest articles
The Grok Build CLI Repo Upload Story Is a Warning About Enterprise AI Data Consent
Grok Build was found uploading entire Git repositories, including secrets, to a Google Cloud bucket. The real lesson for enterprises is about consent design, not this one vendor.
Read articleFrom Manual Process to AI Pilot: A Practical Framework for Enterprise Teams
Enterprise AI pilots stall without operational discipline: recurring inputs, a named owner, a measurable delay to close, and explicit approval gates.
Read articleAI for Supply Chain Is Really About Exception Management
Supply chain AI earns its keep by routing exceptions, not by forecasting: define normal, flag what breaks it, and keep humans on the high-impact calls.
Read articleWhy Flat Safety Stock Percentages Kill Cash Flow
Finance and ops leaders: a flat safety-stock percentage quietly locks up working capital in slow SKUs while leaving cash exposed on volatile ones.
Read articleInventory Turns, Safety Stock, and the AI Opportunity in Manufacturing
Manufacturing planners: turn AI-driven demand signals into per-SKU, per-line safety stock so turns rise without the service misses a flat policy causes.
Read articleAI Guardrails Are Not Just Prompts
Safer prompts are not guardrails. Real enterprise AI safety is validation layers, approval gates, and audit logs built around the model, not wording inside it.
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