Operating model
The three ledgers an AI transformation office should keep
A practical review system that connects AI workflow redesign, adoption evidence, and realized value before a team decides what to scale.
Aurora Hill Insights
Find the real need.
Choose the right response.
Make it useful.
Practical notes for the decisions between what technology can do and what the work actually needs.
Published insights
Measurement
How to measure AI adoption when usage is not the goal
A workflow-level scorecard for measuring AI adoption through behavior, quality, risk, and operating results, with baselines and owners.
AI adoption
The AI adoption memo should name the workflow, owner, and measure
A practical one-workflow brief for explaining what changes, who owns it, where people decide, and how the team will judge the result.
Ownership
Who owns an AI-enabled workflow?
A practical ownership model that separates shared AI standards and controls from functional workflow adoption, quality, and outcomes.