Papers
Position papers, white papers, and playbooks. The thinking behind the work, written down. These are in draft now. They get published here as they are finished.
The Microsoft Agent Governance Kit
Kit. Full draft. Read the full kit.
Agent Builder, Copilot Studio, and the GitHub Copilot harness. The controls that exist, where they fall short, and the manual remedial configuration to close the gap: tenant agent settings, data policies line by line, maker credentials, environment ring-fencing, and harness containment. Microsoft gives you the controls. It does not turn them on for you.
Earn the Next Rung
Framework. Read the full page.
Most companies try to jump straight to custom AI. There is a graduated path from a governed M365 tenant to standalone custom solutions, and each rung earns the next one: M365 foundation, agent builder, Power Platform, Copilot Studio, AI Foundry, standalone custom. Governance runs through every level.
Your M365 tenant is your crown jewel
Position paper. In draft.
The companies that win with AI will not be the ones with the best models. They will be the ones whose Microsoft 365 tenant was already governed before Copilot showed up. AI multiplies the value of the data estate. A governed estate multiplies cleanly. An ungoverned one multiplies risk.
Governance is the accelerator
White paper. In draft.
Governance does not slow AI down. It is what lets you say yes faster. The discipline of saying no to the wrong use cases is how you scale the right ones. Responsibility is the strategy, not the paperwork around it.
Adoption-first AI enablement
Playbook. In draft.
Technology adoption fails in training rooms and succeeds in workflows. Train everyone generally, then by discipline. Collect real use cases. Prove value with fast PoCs. Let each department write its own playbook.
Case studies
In draft.
Four stories with numbers: the translation agent rolling out org-wide, the M365 tenant separation under a corporate divestiture, 35 custom apps in five months, and the self-service portal that started the pattern years ago.
The questions your board should be asking about AI
Board one-pager. In draft.
Boards oversee AI risk the way they oversee financial risk: by asking the right questions, not by becoming engineers.
Nominating committees: see also the Board FAQ.
How I work
Private brief. Not published.
The interview prep sheet. Lead with insight, not agreement. Do the unglamorous work first. Kill bad use cases early. Measure in business terms.