The Future of Enterprise AI
Our insights and opinions on building enterprise AI that understands the context of the organizations it serves.
Adoption & ResultsYour Company Is Probably More Ready for AI Than You Think
Only 7% of enterprises say their data is completely ready for AI. This article discusses why complete readiness is the wrong question, and why your company is probably closer than you think.
Adoption & ResultsWhat Changes When Company-Specific AI is Working
Generic AI gives everyone the same answer. Company-specific AI knows which sources to trust, when not to give a single number, and how to make decisions traceable. Here is what that looks like when it is working.
Building Enterprise AIThe Best Place to Start Building Enterprise AI
88% of companies use AI, but fewer than 40% have scaled it beyond a pilot. The difference is where they started. Here's a practical framework for choosing the right first place to build company-specific AI.
CorpGenie FrameworkHow to Start Building Company-Specific AI
Most AI pilots go nowhere. A 2026 survey found that nearly 70% of AI integrations fail because organizations can't escape the pilot stage. Here's how to start in a way that scales.
CorpGenie FrameworkIn Enterprise AI, Context is the New King
Better models keep arriving, but enterprise AI results aren't improving. The reason is a 37% gap between lab performance and real-world deployment, and it has nothing to do with the model.
Building Enterprise AIFrom Customization to Enterprise AI: Where Real Work Begins
Prompts, custom GPTs, RAG, fine-tuning, connectors: five ways to customize AI, and why none of them is enough on its own. The real work is the operating layer underneath.
AI RealityCompanies That Get Real Value From AI Do One Thing Differently
88% of companies use AI. However, few get results. The gap is context, and the operating layer that turns a generic chatbot into a system that knows your business.