How to make the business case for AI investment
Most AI investment proposals fail not because the technology does not work, but because the proposal is framed around capability rather than outcome. Here is how to build a case that finance and leadership will approve.
The AI vendor landscape is consolidating: what it means for buyers
The number of credible AI infrastructure vendors is shrinking. For enterprise buyers, that changes the procurement calculus in ways that are not yet reflected in most vendor evaluation frameworks.
How to structure an AI team
There is no single correct structure for an AI team. There are structures that work for specific organizational contexts and ones that create predictable failure modes. Here is how to tell the difference.
What to ask before buying an AI platform
Most AI platform evaluations focus on benchmark scores and feature checklists. The questions that predict whether a platform will work in production are different ones.
What separates AI teams that ship from teams that stay in pilot
Most AI pilots succeed. Most AI products don't. The gap isn't technical skill, it's the organizational decisions teams avoid making before the pilot ends.
How to Choose an AI Platform or Partner: A Practical Evaluation Guide
Most AI vendors have never shipped to production. Here are exact questions, red flags, and criteria that separate firms that build from ones that only advise.
The State of AI in Austin, Texas: Why the Capital City Is an AI Hub
Austin's AI talent costs 15-25% less than San Francisco, backed by UT Austin research and a business-friendly state. Local businesses benefit too.
AI for Small Business: When It Makes Sense (And When It Doesn't)
A small business owner asked if AI was worth it for his company. The answer depends on your data, your process, and your budget, not your size.