Enterprise AI Strategy and Operating Models
A practical guide to AI adoption, operating models, leadership, workforce change, and the systems required to turn experiments into durable enterprise value.
9 curated articles
Curated reading paths through Ted Tschopp's writing on enterprise AI strategy, governance, architecture, agentic systems, software delivery, utilities, cybersecurity, and resilience.
These guides organize related essays into durable reading paths. Each pillar starts with a practical question, then connects strategy, architecture, governance, delivery, and operations through existing articles.
A practical guide to AI adoption, operating models, leadership, workforce change, and the systems required to turn experiments into durable enterprise value.
9 curated articles
Essays on trustworthy AI decisions, evaluation, security, provenance, controls, and the governance practices that make enterprise AI accountable.
9 curated articles
Architecture guidance for AI platforms, value streams, integration, agent harnesses, paved roads, and the durable enterprise systems around models.
9 curated articles
A systems-oriented guide to AI agents, tool use, workflows, interfaces, autonomy, orchestration, and the guardrails required for production agentic systems.
10 curated articles
Practical writing on AI-assisted engineering, agentic coding, developer experience, citizen development, delivery governance, and sustainable software operations.
10 curated articles
A focused collection on AI in electric utilities, grid operations, cybersecurity, on-premises models, enterprise resilience, and critical-infrastructure governance.
9 curated articles