---
title: Behavioral Variability (in Agentic AI)
type: concept
tags: [agentic-bpm, variability, llm-agents, specification]
sources: ["[[sources/2025-fournier-agentic-ai-process-observability]]"]
created: 2026-04-15
updated: 2026-04-15
---

# Behavioral Variability

The emergence of different execution trajectories from the same input to an LLM-backed agent system ([[sources/2025-fournier-agentic-ai-process-observability]]).

Following Milani, Dumas, Matulevicius 2012 process-variant terminology, a branching point in a mined agent process model is either a:

- **Decision point** — a variation point whose branches correspond to distinct, specified process variants (intended).
- **Variation point** — a branching that cannot be reduced to explicit decision statements and thus reflects accidental under-specification (unintended).

In agentic AI, unintended variability arises from non-deterministic LLM generation and from loose-ends in natural-language specifications ("vibe coding"). Observability surfaces these points for the developer to tighten.

Contrast with the software-product-line notion of variability (Czarnecki, Helsen, Eisenecker 2004) which treats variability as **desired** flexibility for alternative instantiations.

## Related
[[concepts/agent-process-observability]] · [[concepts/agentic-bpm]] · [[concepts/process-discovery]]