---
title: "Connecting Agents to Decisions"
description: "Palantir’s Ontology is presented as a decision-centric architecture for human-agent operations, intended to represent how enterprises make and execute decisions rather than only storing or analyzing data. It combines data, logic, action, and security in a shared, dynamic representation that can connect operational data, computational processes, workflow execution, and policy controls. The data layer includes structured, streaming, edge, unstructured, imagery, and decision data, with decision lineage recording the data version, application, and decision context; logic binding connects heterogeneous business, modeling, planning, and optimization assets for human and agent workflows. The architecture exposes approved actions to agents with configurable human review and guardrails, while capturing decisions as learning material for improving workflows and agentic memory. It concludes that a real-time ontology can anchor AI in enterprise conditions while controlling where automation is allowed."
---

# Connecting Agents to Decisions

[Palantir](https://yomu.fyi/company/palantir) · Palantir · Apr 28, 2026

**Type:** Explainer

## Summary

Palantir’s Ontology is presented as a decision-centric architecture for human-agent operations, intended to represent how enterprises make and execute decisions rather than only storing or analyzing data. It combines data, logic, action, and security in a shared, dynamic representation that can connect operational data, computational processes, workflow execution, and policy controls. The data layer includes structured, streaming, edge, unstructured, imagery, and decision data, with decision lineage recording the data version, application, and decision context; logic binding connects heterogeneous business, modeling, planning, and optimization assets for human and agent workflows. The architecture exposes approved actions to agents with configurable human review and guardrails, while capturing decisions as learning material for improving workflows and agentic memory. It concludes that a real-time ontology can anchor AI in enterprise conditions while controlling where automation is allowed.

## Context

The post argues that traditional data and analytics architectures do not represent the reasoning, actions, operational context, and security constraints involved in enterprise decisions. It presents a decision-centric architecture as necessary for human-agent operations that must respond to changing conditions and support learning from decisions.

## Approach / What changed

The Ontology integrates data, logic, action, and security into a scalable semantic representation. It connects heterogeneous enterprise data and logic assets, captures decision lineage, exposes operational actions to agents, and applies configurable human review and guardrails to agent-driven automation.

## Takeaways

- The Ontology represents enterprise decisions through four connected elements: data, logic, action, and security.
- Decision lineage records the data version, application, and context associated with decisions, providing material for AI learning and agentic memory.
- Agents can stage actions for human review by default, while trusted processes may automatically close the action loop within predetermined boundaries.

**Tags:** [Architecture](https://yomu.fyi/topic/architecture), [LLMs](https://yomu.fyi/topic/llm), [Machine Learning](https://yomu.fyi/topic/machine-learning)

- Source: [Palantir](https://blog.palantir.com/connecting-agents-to-decisions-277dee8ddb40)
- Source URL: https://blog.palantir.com/connecting-agents-to-decisions-277dee8ddb40
- Ingested by Yomu: 2026-08-30T13:12:42.310Z

[Read original post](https://blog.palantir.com/connecting-agents-to-decisions-277dee8ddb40)