Insights
Perspectives on AI strategy, growth, M&A, and the quantitative foundations that drive better decisions.
The AI Productivity Paradox: Your Best Adopters Are Burning Out
The narrative is simple: give employees AI tools, they get more done, everyone wins. New research says that's dangerously incomplete.
Why AI Pilots Fail: The Governance Gap Nobody Talks About
Everyone's running AI pilots. Most will fail - not because the technology doesn't work, but because the organization isn't ready to let it.
Exit Planning Starts Two Years Before You Talk to Buyers
Most founders start thinking about exit planning when they're ready to sell. By then, it's too late to maximize value.
The Build vs. Buy Dilemma in Federal Contracting
You can only win contracts you're qualified to pursue. So do you build capabilities, acquire them, or partner?
Defensive Strategy: Controlling the Rate of Decline
Not every strategy is about growth. Sometimes the most important question is: how do we manage a decline we can't prevent?
Why Your M&A Integration Should Start During Diligence
The most expensive mistake in M&A isn't overpaying. It's losing value between close and integration delivery.
From Actuary to AI Strategist: Why Quantitative Foundations Matter
How actuarial training and data science create a different kind of strategy consultant. The case for precision over intuition.