The AI Pilot Graveyard: Why Promising Experiments Never Reach Production
A forensic look at the technical, organizational, and financial gaps that strand successful AI pilots before they become dependable production systems.
AO
Tag: Enterprise AI
The Hidden Labor Behind AI: Mapping Every Human in the Automation Loop
AI systems often shift work rather than remove it; this guide maps reviewers, annotators, operators, and subject experts whose invisible labor keeps automation running.
AO
The AI Build-or-Buy Matrix: Decide What Deserves Custom Engineering
A practical matrix helps leaders weigh differentiation, data sensitivity, integration burden, talent, and switching costs before committing to an AI product path.
DM
The AI Adoption Tax: Calculating Costs That Vendors Leave Out
Licenses and tokens are only the beginning; this framework exposes integration, evaluation, oversight, training, support, and process redesign costs before approval.
AO
The Prompt Library Problem: Why Shared Templates Decay So Quickly
Shared prompts become unreliable as models, policies, and workflows change; here is how to assign ownership, test regressions, and retire outdated templates.
DM
How AI Is Rewriting Customer Support Tiers Without Removing Humans
A deep dive into how support organizations are replacing rigid tier structures with dynamic routing, agent assistance, specialist escalation, and continuous learning.
AO
Why Enterprise AI Search Fails on Acronyms, Jargon, and Tribal Knowledge
Internal search breaks when company language is implicit; this guide shows how to build glossaries, entity maps, query expansion, and feedback into retrieval.
LB
AI Regulation by Design: Turning Legal Duties Into Product Requirements
Translate broad regulatory obligations into concrete controls, acceptance criteria, documentation, and ownership that product and engineering teams can execute.
PN