Concepts
Business Autonomy — Concepts & Glossary
A concept hub for the ideas behind the Business Autonomy Engine. Each definition links to a deeper page where one exists.
- Business Autonomy
- The capability of an enterprise system to translate objectives into governed actions and to learn from their outcomes.
- Business Autonomy Engine
- An AI system that builds a model of an enterprise, turns objectives into decisions, executes governed actions, and learns from outcomes.
- Enterprise World Model
- A computational model of an enterprise's entities, relationships, state, dependencies, temporal behavior, and causal structure.
- PLDM
- Probabilistic Living Digital Model — a continuously updated model of the enterprise that represents uncertainty and, over time, causal structure.
- Business Intent
- A business objective expressed as goals, constraints, policies, and decision variables the engine can reason over.
- Decision Intelligence
- Methods for turning data and models into decisions—prediction, causal reasoning, optimization, and decision ranking.
- Causal Reasoning
- Reasoning about the effect of interventions rather than relying on correlation alone.
- Counterfactual Reasoning
- Estimating what would have happened under a different action or decision.
- Outcome Learning
- Comparing predicted and actual outcomes to improve future models and decision policies.
- Autonomy Guardrails
- Policies, thresholds, and approvals that keep autonomous actions safe, compliant, and reversible.
- Distributed Intelligence
- Running intelligence where data lives—cloud, edge, and operational systems—when centralization is impractical.
- Autonomous Decision Loop
- The continuous cycle of observe, understand, decide, simulate, govern, act, and learn.
See the concepts in action.
Explore how these ideas come together in the Tihranix Business Autonomy Engine.