You're building agents directly on fragmented context. That's like building dashboards on raw CSV files.
Every team defines "revenue," "margin," and "demand" differently. Agents inherit these inconsistencies and amplify them.
Critical decision rules live in people's heads. When they leave, institutional knowledge walks out the door.
Data warehouses store facts. But nobody structured the logic that drives actual operations.
Not data. Understanding of the business — structured, queryable, executable.
Three steps to go from "it's all in people's heads" to AI agents that make decisions like your best operators.
MORRIE talks to your domain experts — supply chain managers, pricing analysts, sales leaders — and extracts the rules, thresholds, and edge cases they use to make decisions every day.
Blueprints are structured into a unified knowledge graph that connects ontology (what things mean), metrics (how you measure), and decisions (how you act) — across every function.
AI agents don't guess — they follow the same decision paths your best people do. They traverse the graph, pull the right rules, and execute autonomously — with full traceability.
Data warehouses with conversation layers bolted on. Adding AI to data. No ontology. No decision nodes.
Purpose-built intelligence infrastructure. Ontology, metrics, and decisions as first-class traversable nodes.
You need an intelligence warehouse before AI agents work. Building agents without one is like building dashboards on raw CSV files.
Stop building agents on fragmented context. Start with the infrastructure layer that makes AI actually work.