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.
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Updated
May 30, 2026 - JavaScript
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.
Evidence-based skills for designing and improving AI product operating models
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.
Anonymized governance artifact source for portfolio governance, operating models, playbooks, lessons learned, and AI workflow design.
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.
"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.
Governance structures, decision frameworks, and templates used to guide enterprise programs and portfolio oversight.
Board-Level Decision Intelligence Operating System. A future-state enterprise operating model for governing forecast confidence, commercial risk, recovery investment, capital allocation, and executive decision-making under uncertainty.
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.
Canonical portfolio site for PMO and portfolio governance, executive cadence, delivery readiness, public-safe proof, and practical AI operating governance.
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.
Executive frameworks for translating organizational strategy into aligned operating models, governance, and delivery systems.
A brand-free, portable operating model for running software projects with Claude across Claude.ai and Claude Code.
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