Notes. From the field of AI workforce architecture.
The thinking behind the practice. Frameworks, role spotlights, pilot roadmaps, and quick wins.
9 notes
Inside a global investment bank's role redesign.
Where half a million dollars in annual capacity was sitting inside one risk function. The three-way split applied to a senior risk leader and the team beneath them.
Role spotlightInside a family law attorney's role redesign.
Where six figures a year were hiding inside an attorney's week. A look at the three-way split inside a boutique practice.
FrameworkWhat is AI workforce re-architecture?
Most AI adoption is a tools problem. The harder question is what happens to the roles underneath them. The methodology RoleOS uses for every engagement.
FrameworkAutomation Risk Score explained.
How to know which parts of a role are actually vulnerable to AI. The four-quadrant model RoleOS uses for every role.
FrameworkStrategic Moat Score.
What makes a task irreplaceable in the age of AI. The defensibility layer underneath the three-way framework, and why it matters more than risk.
Role spotlightRedesigning the Chief of Staff role.
What an AI-native Chief of Staff role actually looks like. A worked example through the RoleOS framework.
RoadmapWhat a 90-day AI pilot roadmap actually looks like.
Phases, milestones, and the discipline that makes a pilot stick. The shape of an engagement after RoleOS hands the work back.
RoadmapThe 90 days after a funding round.
Why the window after a fundraise is the strategic moment to rethink role design. And what to do with it.
Quick winsThe AI Wins Dashboard.
How to identify where AI can start delivering today, not next quarter. The lightest-weight tier of the RoleOS framework.