I am an “AI whisperer,” and help governments and companies to use collaborative AI analyses that help identify risk, optimize policy, and identify and help understand the long- and short-term impacts of a potential set of business decisions. This is the “self-promotion” section of the site.
Meaningful analysis requires deep context
The most valuable analyses I've produced addressed what executives actually worried about, not what industry frameworks suggested they should worry about.
Deep analysis is often a winding road
After two decades of strategic consulting, I've learned that the engagements producing breakthrough insights share one common element: a senior executive who stays actively involved throughout the process.
What I don't know, I can't consider
One pattern I've observed repeatedly: the most frustrated clients are those where great analysis dies in implementation because nobody mapped who actually makes decisions around here.
Nobody likes surprises
Traditional consulting follows a familiar pattern: disappear for weeks, then return with a comprehensive presentation that's supposed to solve everything.
Regular feedback can make sure it on-target for your your organization needs.
Doing this helps facilitate and focus consensus-building
After years of watching great strategic recommendations stall in committee discussions, I've learned that one-size-fits-all presentations often create more confusion than clarity.
A compact advocacy white paper
This is an example of an advocacy white paper, addressing the current American approaches to regulating nicotine vapes. It was done in about 16 hours, using Anthropic Claude.
Not really a case study, but a sterling example of the advantages of AI-assisted analysis
Revisiting a project from long ago, but this time partnering with AI.
It went well.
What will it cost? How risky is it?
Here is an example of a brief risk and opportunity assessment in support of an actual community hospital's initiative to move their Analytics and BI platform into the cloud.