Synthetic Data Is No Longer Just Training AI. It’s Rehearsing the Enterprise.
October 14, 2026 Raja writes about why fidelity, provenance, and simulation are becoming essential to understanding how AI agents behave […]
From Mail Clerk to Corner Office: an inside-out strategy to deploying agents without betting the firm
Speed read Most companies are waiting to be ready for AI. The only way to get ready is to put
Building a Governed Clinical Data Capability for a Whole Person Care Intelligence Company
A Whole Person Care Intelligence company partnered with ConceptVines to create clinically coherent synthetic patient populations for Type 2 diabetes
Your AI Isn’t Cheating. It’s Doing Exactly What You Rewarded.
Navaneeth Murali writes on why AI alignment is becoming an incentive-design problem, and why the metrics enterprises use to evaluate
The Next AI Breakthrough Is Knowing When Not to Act
John Engerholm writes on why digital workers need explicit decision rights before they can exercise meaningful autonomy. Every enterprise already
The Butler-Barrister
The rise of safe personal agents: personal AI for health, wealth and happiness, built on the “Model of You” Speed
After Every Agent Has Answered, the SuperAgent’s Work Begins
Rajeev Kumar writes on why the defining work of a SuperAgent begins after specialist agents have produced their answers. Let
Your Most Important AI Test May Be for an Event That Has Never Happened
Ryan Metz writes about why synthetic data is becoming rehearsal infrastructure for Systems of Work, allowing enterprises to test consequential
Rembrandts in the Attic – Your company is sitting on assets it stopped counting. AI just reappraised them.
Speed Read Every company—not just tech—is sitting on invaluable IP and institutional knowledge (patents, archives, manuals, trial data, claims histories)
The Most Important AI Model May Be the One You Can Replace
Enterprises have spent the last two years asking which AI model they should trust with their most important work. That