The Government Just Drew a Map for AI in Finance. Are You Reading It?
The Treasury’s February 2026 AI governance release is not just a compliance document for big banks.
Thoughts on strategy, efficiency, and the practical application of AI in the enterprise.
The Treasury’s February 2026 AI governance release is not just a compliance document for big banks.
The hottest open-source AI project of 2026 and Anthropic’s own tools use the same core idea. Here’s what that means for your business.
How to turn Claude into a specialist, not just a generalist, for every function in your business.
The New Unit of Work
The era of dashboards is ending.
Revenue is decoupling from headcount, not gradually, not theoretically. The companies that understand this first will own the next decade.
A Guide to Section 1202 (QSBS) After the “Big Beautiful Bill”
For years, businesses believed the safest choice was hiring the biggest consulting firm they could afford.
There’s a phrase that quietly defines adulthood:
For the last decade, the playbook was simple:
In my last post, I talked about something a lot of founders and operators are feeling right now:
Most people don’t follow a straight line.
Businesses lose $2,500–$4,000 per month not because customers won’t pay — but because invoices are sent late. Fixing this takes less than 7 days.
Most AI initiatives fail because they automate activity, not outcomes. Projects tied to a measurable metric are 3× more likely to deliver ROI within 90 days.
Automating internal approvals (quotes, discounts, invoices, POs) saves 8–15 hours/week and reduces delays by 30–50% — with minimal tech changes.
Automation stacks with more than 3 core tools see adoption drop by 40%. Fewer tools = higher usage, lower failure rates.
Automating a broken process can make things worse. Teams that stabilize workflows first see 2× faster ROI and fewer rework cycles.