Institutional Strategy for Responsible Technology Adoption
I work with organizations adopting AI and other emerging technologies to ensure the strategy and structures around that adoption are clear, responsible, and sustainable.
The Problem
AI is moving faster than institutions are ready for.
Many organizations are introducing new technologies before they understand how to use them. That gap shows up quickly in inconsistency, uncertainty, and unnecessary risk.
The Solution
Translate principles into practice.
Governance – How do we use AI safely?
Clarifying expectations, boundaries, and decision responsibility. This includes developing guidance that helps teams understand where discretion exists, where it does not, and how risk-sensitive decisions should be made.
Literacy – How do we use AI intelligently?
Helping teams understand not just how tools work, but when and why they should be used. The goal is shared judgment — building confidence, reducing uncertainty, and creating a common language around appropriate use.
Implementation – How do we use AI most effectively?
Ensuring policy, communication, and operational reality remain aligned as adoption expands. This often involves translating high-level principles into workflows, documentation, and day-to-day practices that hold under real conditions.
I take on a limited number of advisory engagements each year.
The Schuller Edit 