AI Made Building Cheap. Being Wrong Got Expensive
Imagination and coding capacity have moved down the blocker list. Product judgment, architecture, governance, adoption, and cost discipline are the blockers now.
Articles
The Executive Steps of AI Adoption
- AI strategy
- Enterprise AI
- AI governance
Sam Ferrise and Olek Buzz adapt Boris Cherny's five-step AI adoption framework for the executive level. The paper explains what each stage looks like in operations, governance, and the P&L, then gives CIOs five questions to test where their organization really stands.
The Owned AI Stack
- Token control
- Agent governance
- Workflow ownership
A note for enterprise technology leaders on building AI agents that can survive production. It covers where to start, what to own above the model, how to control cost and risk, and why the first real win usually comes from one measurable workflow.
AI-Enabled Production
- Delivery model
- Human-AI workflow
- Enterprise AI
A practical model for moving past pilots and into governed AI delivery, with humans owning requirements, architecture, quality, and business decisions.
Talk to us
Sam Ferrise
Chief Technology Officer at Trinetix
Sam leads technology and innovation strategy, building AI-enabled, cloud-powered systems for our enterprise clients.
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