<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Idris Aklan - Notes</title><description>Working notes on AI, data, and delivery: production readiness, POCs, and explaining technical tradeoffs.</description><link>https://www.idrisaklan.com/</link><language>en-au</language><item><title>What makes an enterprise AI feature production-ready</title><link>https://www.idrisaklan.com/notes/enterprise-ai-feature-production-ready/</link><guid isPermaLink="true">https://www.idrisaklan.com/notes/enterprise-ai-feature-production-ready/</guid><description>Most AI features that stall in production do not fail on model quality. They fail on grounding, evaluation, governance, and deploy safety. Here is the checklist I work through.</description><pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Data POCs: from business question to a demo people trust</title><link>https://www.idrisaklan.com/notes/data-pocs-business-question-to-demo/</link><guid isPermaLink="true">https://www.idrisaklan.com/notes/data-pocs-business-question-to-demo/</guid><description>A proof of concept is not a smaller version of the final build. It is an argument. Here is how I scope data POCs so they actually move a decision forward.</description><pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate></item><item><title>Explaining technical tradeoffs to non-technical stakeholders</title><link>https://www.idrisaklan.com/notes/explaining-technical-tradeoffs/</link><guid isPermaLink="true">https://www.idrisaklan.com/notes/explaining-technical-tradeoffs/</guid><description>Stakeholders rarely want the technically optimal option. They want the one that best fits their constraints. A practical way to frame tradeoffs so they can actually decide.</description><pubDate>Fri, 15 May 2026 00:00:00 GMT</pubDate></item></channel></rss>