Writing
Thinking out loud about software, AI, and the economics of running a real business.
SaaS Margins Were Zero. AI Changes That Math.
For two decades the product was the moat. AI compresses that. Profit is the new defense — here's how to think about the P&L in the agentic era.
What Your Churn Rate Actually Tells You (And When to Stop Obsessing Over It)
Most SaaS founders treat churn as a single problem. It's not. A company churning 50% annually and a company churning 12% annually have completely different issues, and they need completely different solutions. Here's how to diagnose what your churn level is really saying about your business.
AI Is Killing SaaS Margins. Outcome-Based Pricing Is How You Get Them Back.
Traditional SaaS ran at 90% gross margins. AI features are compressing that to 60% or lower. But the same technology that's eating your margins can unlock pricing power that SaaS never had.
AI Consulting for Small Businesses: What Is Realistic for Your Budget
AI consulting is not just for enterprises. Learn what AI can realistically do for a small business, what it costs, and when you need a consultant vs. DIY.
AI Leadership Blind Spots: 5 Mistakes Executives Make with AI Investment
6% of CEOs report zero financial benefit from AI. These 5 AI leadership blind spots explain why, and how executives can fix their AI investment strategy.
AI Automation Consulting: Which Business Processes to Automate First
Most companies automate the wrong process first. Here's the prioritization framework — impact vs. feasibility — that identifies which business processes deliver the highest AI automation ROI, and in what order.
AI Agent Development: Costs, Tiers, and When You Actually Need It
Most AI agent projects fail from bad scoping, not bad technology. A practical breakdown of costs, tiers, and what to ask before you sign anything.
AI Readiness Assessment: How to Know If Your Company Is Ready for AI
Most AI projects fail due to poor preparation, not bad technology. Use this 5-dimension self-assessment to score your company's data, infrastructure, team literacy, business case, and organizational willingness — and find out if you're ready for production AI, a pilot, or need to fix fundamentals first.