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Building the Agentic Center of Excellence — the operating model, governance, and quality gates that move AI agents from pilots to production. Tools, frameworks, and field notes from production experience.
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.
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.
An operating model for AI agents: boot from truth, split roles, require evidence, hand off durably. Model-agnostic primitives in plain Markdown + shell.
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.
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.
Canonical portfolio site for PMO and portfolio governance, executive cadence, delivery readiness, public-safe proof, and practical AI operating governance.
A human-centered AI operating model grounded in Integral Theory that's installable into Claude Code and other agents, with an organizational layer for teams and communities.