Connecting Agents to Decisions

This post elaborates on the Palantir Ontology's role in decision-centric enterprise architecture, detailing how it integrates data (including 'decision data' and lineage), logic (business logic, ML models, optimization algorithms), and action (execution and orchestration). It introduces the concept of 'decision data' and 'decision lineage' as crucial for AI-driven learning and agentic memory, and emphasizes the Ontology's ability to connect heterogeneous logic assets and synchronize actions back to enterprise substrates. The security section is expanded to include dynamic, runtime-computed policies that blend marking-, purpose-, and role-based controls.