The Decision Graph
The Decision Graph.
Decision traces stitched across agents and time.
The Echo Effect
Beyond Individual Context
Every agent can have its own RAG. But the institutional knowledge - the exceptions, the precedents, the approval chains - isn't shared. Each agent is like a smart intern on day one.
Mala builds the decision graph that makes past decisions searchable.
Decision traces linked across agents
Historical precedents searchable
Exception patterns visible
Approval chains recorded
Ghost Graph
Judgment, Not Just Data
Example Query
Query:
"Find similar payment approvals in Q3 2024"
Results:
thread_4a2c → 97% matchSEALED
thread_9d1b → 94% matchSEALED
thread_2f8e → 89% matchSEALED
Retrieved in 18ms
The Living Record
A decision graph accumulates decision traces stitched together over time. It's not just data storage - it's the institutional memory of how your organization actually decides.
How a rule was applied in Singapore informs decisions in London.
Turn history into intelligence
RAG gives agents rules.
The decision graph shows how they're applied.
The decision graph shows how they're applied.
Every decision trace becomes searchable precedent. Every exception is recorded.
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