Building with AI under enterprise pressure
Trinetix Tech is a growing library from the Trinetix Office of CTO on AI production, governance, infrastructure, human responsibility, and the decisions that separate useful systems from expensive noise.
Articles
View moreThe 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 Operating Discipline
- AI economics
- Governance
- Product management
When AI makes building cheaper, being wrong gets more expensive. This piece looks at product judgment, usage economics, governance and guardrails, modernization, and why weak operating models fail faster with AI.
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.
Painful transition is writing problem
- Enterprise AI
- Workforce Transition
- AI & Productivity
- Content Strategy
Olek Buzz on the painful transition Fed Governor Lisa Cook keeps warning about, and why it is, at root, a writing problem. Three questions he asks before anything ships: Can a named human defend every claim? Is every quotation exact? Will a reader two years from now still find a human position in it?
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.
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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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