An operating model for autonomous agent teams. Identity, task contracts, failure memory, trust scoring and audit for teams that want to operate agents as an accountable workforce.

Open-source operating model for product teams. Integrates AI into workflows without losing human accountability. Decision gates, machine-readable artifacts, AI service mesh with tracked overrides, three modes (Core/Explore/Scale). Faster time-to-market without breaking quality.

Human-governed setup kit for establishing or resetting a PMO, EPMO, PPMO, transformation office, or portfolio governance function without starting with template sprawl.

An end-to-end playbook for enterprise AI governance covering intake, prioritization, release, monitoring, and continuous improvement.

Evidence-based skills for designing and improving AI product operating models

Anonymized governance artifact source for portfolio governance, operating models, playbooks, lessons learned, and AI workflow design.

"The operating model that makes agentic operations accurate — Execution Intelligence Framework v2.5"

A layered framework for aligning strategy, governance, transformation, and execution across complex organizations.

Portable, project-agnostic operating kit for Claude Code and Cursor. A disciplined builder and strategic-vetting persona, playbooks, subagent templates, and memory seeds. Installs with one prompt.

Public-safe portfolio hub for PMO and portfolio governance, executive cadence, delivery readiness, and practical AI operating governance.

Governance structures, decision frameworks, and templates used to guide enterprise programs and portfolio oversight.

Canonical portfolio site for PMO and portfolio governance, executive cadence, delivery readiness, public-safe proof, and practical AI operating governance.

KAOS (Knowledge Acquisition Operating System) is an AI-assisted framework for transforming fragmented information into governed, structured knowledge through repeatable acquisition workflows, human approval gates, provenance tracking, and canonical data modeling.

A shared glossary defining the core terms, concepts, and structures used across the Strategy-to-Execution enterprise transformation framework.

How to set up and lead an engineering function whose team's real work is running AI agents: operating principles, team topology, accountability, failure model, and how judgment survives when agents do the reps. The human layer around the systems.

A practical operating system for AI-assisted Product Ownership, turning ambiguous product problems into clear, implementation-ready decisions.

Enterprise transformation leader connecting strategy to execution through operating models, governance frameworks, and program delivery systems.

AI-centric framework for moving from idea to shipped feature faster using Claude Code and Claude Skills with sensible guardrails.

Enterprise Agile transformation playbook covering operating models, delivery systems, capability development, and transformation governance.

Executive frameworks for translating organizational strategy into aligned operating models, governance, and delivery systems.