Blog
AI advisory insights.
Practical thinking on AI due diligence, technical diligence, pricing strategy, implementation, and product-market fit — written for investors and business leaders evaluating or implementing AI.
For Investors
AI due diligence and investment advisory
AI Due Diligence for Investors: What It Is and Why It Matters
What AI due diligence actually covers, why it is different from standard technical due diligence, and what investors risk by skipping it.
Technical Due Diligence vs AI Due Diligence: Key Differences
Why traditional technical due diligence is not enough when evaluating AI-native companies, and what the additional AI layer covers.
Red Flags in AI Due Diligence Every Investor Should Know
The 10 most common red flags in AI company due diligence — and how to find them before the term sheet is signed.
How to Assess AI Pricing Strategy Before the Term Sheet
Why AI pricing is the most misunderstood part of any AI investment — and the framework for evaluating whether pricing power is real or narrative.
Product-Market Fit in AI Companies: How to Tell the Real Thing
How to distinguish genuine product-market fit from AI hype — and why retention metrics are the only signal that matters.
What Does an AI Infrastructure Audit Actually Cover?
A complete breakdown of what an AI infrastructure audit assesses — from model architecture to vendor dependencies to hidden operational risk.
Independent AI Advisor vs Internal Team: What Investors Need to Know
Why independent expertise produces more reliable AI investment decisions than internal teams — and when to use each.
For Businesses
AI strategy and implementation advisory
What Does an AI Consultant Actually Do for Your Business?
Most business owners have a vague sense that an AI consultant helps with AI. Here is exactly what the engagement looks like and how to know if you need one.
How to Implement AI in Your Business: A Practical Starting Guide
Where most businesses go wrong with AI implementation — and the sequence that actually works for companies without dedicated AI teams.
Why AI Implementations Fail — And How to Avoid the Most Expensive Mistakes
90% of AI projects do not deliver what was promised. These are the real reasons — and what to do differently before the project begins.
Build vs Buy AI: How to Make the Right Decision for Your Business
The build vs buy decision is the most consequential AI choice most businesses make. Here is the framework for getting it right the first time.
How Much Does AI Consulting Cost? What Businesses Actually Pay
The honest breakdown of AI consulting costs — what drives the price, what you should expect to pay, and how to know if the engagement is worth it.
Red Flags When Hiring an AI Consultant — What to Watch For
The warning signs that an AI consultant is overpromising, underqualified, or structuring the engagement to benefit themselves rather than your business.
How to Measure AI ROI: The Framework That Actually Works
Most businesses cannot measure AI ROI because they did not define success before they started. Here is how to fix that — before and after implementation.