Whitepaper Press
Whitepaper Press is a curated collection of executive-level research, operating frameworks, and architectural blueprints for leaders navigating irreversible change.
A leadership, architecture, and organizational blueprint for AI-native companies. Nine parts on what changes when software starts deciding: the roles that become critical, the new engineering career ladder, decision rights for agents, the agentic SDLC, 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, with reference contracts, Python and Rust libraries, OPA/Rego policy bundles, and a conformance runner. v1.4 adds agent-to-human output validation, a signed break-glass contract, and machine-validated OWASP AISVS and MITRE ATLAS mappings.
A private, two-day executive offsite designed to move your leadership team from AI ambition to a measurable, governed execution roadmap.
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 and AI unit economics.
Have a paper worth committing to long form? We publish research, white papers and frameworks with author-owned IP, optimized distribution, and structured data designed for citation.