Insights
Ideas on AI-native operating models, expanded into full articles from what first started as LinkedIn posts.
Why Are We Still Building Ticket Factories?
Challenges the industry's assumption that AI should simply make engineers faster. Organizations should eliminate unnecessary operational demand before automating what remains.
Platform Intelligence Before AI Reasoning
AI agents become significantly more effective when they first understand the operational platform they're interacting with — reasoning from platform intelligence, not just symptoms.
Administrative vs Operational Demand
Enterprises have eliminated millions of administrative service requests while still accepting large volumes of avoidable operational work — the next frontier for AI-native operations.
AI Doesn't Replace Engineers
AI should augment engineering expertise by eliminating repetitive operational work — freeing engineers for higher-value innovation, architecture, and business transformation.
Moving Beyond Labor-Centric Operating Models
The transition from labor-based IT services toward AI-native operating models built around digital labor, autonomous operations, and measurable business outcomes.
More of these publish regularly, expanded from ideas first shared on LinkedIn.