Enterprise AI
Enterprise AI is the practice of adopting AI tools with the controls a real business needs: data protection, access rules, vendor accountability, and clear ownership. Unlike consumer AI, which is…
Management
People, policy, HR, organizational change, and leadership in the AI era.
6 posts
Responsible AI
Responsible AI is the practice of building and using AI systems in ways that are fair, transparent, secure, and accountable to the people they affect. Unlike a purely technical checklist, responsible…
Cost of Large Language Models
The cost of large language models is the total spend required to use them, spanning per-token usage fees, subscriptions, integration work, and the staff time to run them well. Unlike a flat software…
Unit of Work: The AI Productivity Metric That Actually Maps to ROI
Your AI vendor sells you tokens. Your business runs on completed work. If you cannot translate between those two units, who is actually winning the deal?
Manager
When your AI vendor calls their product an autonomous agent, they are telling you — without using these words — that they are selling you a manager. Not a tool. A manager. That agent will direct…
What AI Slop Really Means
Before AI, a bad idea had to survive an implicit conversation with its own cost. You would sit with it for a week. You would ask someone you trusted. You would walk around knowing you might be wrong…
Seeing this in your own organization?
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