Insights
AI for operators, written by operators.
No hype. No academic frameworks. Practical perspectives on what's actually working in the field — from people running real businesses with AI.
The $20M CEO's AI Problem: Why Most Implementations Fail
The failure mode isn't the technology. It's installing AI on top of broken processes and calling it transformation. Here's what actually works.
The 80/20 of Back-Office Automation: Where to Start
After mapping the workflows of a dozen mid-market companies, we keep finding the same five processes that account for 70% of recoverable admin time.
Why Your CRM Is a Graveyard (And How AI Brings It Back)
Bad CRM hygiene kills more deals than bad salespeople. The fix isn't training — it's removing the human from the data-entry loop entirely.
AI in Multi-Site Clinical Operations: The Operator's Playbook
Running Pentus Health gave us a front-row seat to where AI actually moves the needle in clinical settings — and where it creates more problems than it solves.
RevPAR and AI: What We Learned Running Marriott & IHG Properties
Revenue management software already uses AI. The real opportunity is in the 60% of hotel ops that still runs on spreadsheets and tribal knowledge.
How to Brief Your Board on AI Without Getting Laughed Out of the Room
Most mid-market boards are skeptical of AI hype — for good reason. Here's a framework for presenting AI investment as a measurable business decision.
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