Enterprise AI·Context·Agents
Hallucination Is the Feature, Not the Bug
A talk on why agents need ontologies nails the diagnosis but stops short of the hard parts. This is exactly what we've been building.
Craig Tracey ·
Revenue risk, account context, and the systems between them.
Practical field notes on finding the evidence your CRM, health score, and forecast leave out.
Enterprise AI·Context·RevOps
The Application Layer and Ontology Are the Real Keys to Enterprise AI
Palantir's CEO called out the dirty secret of today's AI hype. Here's why enterprises need a live operational graph, not just bigger models.
Craig Tracey ·
Operations·Enterprise AI·Context
Your operations run on tribal knowledge. AI will make that worse.
Every operations leader has tried to fix the opacity problem. AI agents make the cost of failure visible and immediate. Here is what changes now.
Craig Tracey ·
AI Agents·Governance·Enterprise AI·Context
Governance Theater Won't Survive Agentic AI
Policies and approval workflows can't constrain agents that don't share your view of reality.
Craig Tracey ·
Context·Enterprise AI·Data
Context layer vs data catalog: what every AI initiative needs to know
Data catalogs document assets. AI context layers connect live entities, relationships, and evidence. Compare their purpose, limits, and when to use each.
Craig Tracey ·