The full catalog of white papers, blueprints, and frameworks. Newest first.
A leadership, architecture, and organizational blueprint for AI-native companies. What changes when software starts deciding and writing software: the roles that become critical, the new engineering career ladder, decision rights for agents, the agentic SDLC, the control architecture that makes autonomy safe, and a six-phase roadmap with a gate check before scale.
A strategic white paper for the executive team. The operating model, the architecture, and the leadership decisions that will define the next decade.
An architectural blueprint defining the 16 missing primitives required to safely deploy autonomous AI systems in the enterprise.
A cloud reference framework of controls for enterprise-grade trustworthy AI agents. 20 controls across four layers - Identity, Runtime, Observability, and Orchestration - that wrap probabilistic agents in a deterministic shell of governance. v1.4 adds agent-to-human output validation, a signed break-glass contract, OWASP AISVS and MITRE ATLAS mappings, and a Rust companion crate.
A private, two-day executive offsite designed to move your organization from AI ambition to measurable, governed outcomes.
A practical leadership framework for governing AI, aligning it to business outcomes, and moving from isolated pilots to durable enterprise impact. v1.1.1 adds agentic governance, AI unit economics, and the 2026 sourcing taxonomy.