The Problem With Traditional “AI”
Most systems labeled as AI do one thing well: process data.
They analyze inputs, generate outputs, and assume the right decision will naturally follow.
In reality, decisions don’t fail because of missing data — they fail because:
- Context is fragmented across roles
- Timing matters more than accuracy
- Humans carry constraints, incentives, and risk that software can’t see
Bots optimize for answers. Operators need support for decisions.
What Raice.Dev Exists to Do
Raice.dev exists to inform the right decision‑maker at the right time in a way traditional software and bots cannot.
It does this by observing, interpreting, and responding to an aggregate of intelligence, not just data.
At its core is a Decision‑Maker‑In‑Loop (DMIL) framework — designed to understand how humans actually decide when stakes are high.