The AI Graveyard Problem
Most enterprise AI investments never reach users. Models sit unused while business users struggle. Here's why—and what to do about it.
When One AI Isn't Enough
Using multiple AI models to cross-validate architecture reviews. Consensus-based scoring catches blind spots that single models miss.
Catching AI Hallucinations Before They Reach Users
A verification framework using Natural Language Inference to validate AI-generated citations, improving accuracy from 73% to 97%.
Why Smaller Models Often Win
Domain-specific fine-tuning of 8B parameter models consistently outperforms general-purpose 70B+ models on enterprise tasks—at 90% lower cost.
The Case for AI Specialists
Why coordinated fleets of domain-specific models outperform monolithic giants for enterprise applications in regulated industries.
Making Compliance Machine-Readable
A practical guide to OSCAL implementation—what it is, why it matters, and how to deploy it for 60-90% reduction in compliance effort.
Your Models, Anywhere
Why enterprise AI needs to connect to models wherever they live—cloud, on-premises, or air-gapped—through a universal interface.