AI Agent Sprawl
AI Agent Sprawl is the chaotic proliferation of autonomous agents without central orchestration.
“AI Agent Sprawl turns isolated automation wins into systemic architectural liabilities.”
As teams deploy isolated AI agents for specific tasks, the enterprise architecture fragments. This sprawl creates overlapping API permissions, unpredictable interactions, and unmanageable token consumption costs.
Reverse Citations: Implemented & Audited Across Platform
Richard Ewing’s Research Thesis
Autonomous agents must be registered, monitored, and governed through a central control plane. Without orchestration, agent sprawl leads to compounding technical debt and API rate limit exhaustion.
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Frequently Asked Questions
Q:What causes AI Agent Sprawl?
Decentralized teams deploying single purpose AI agents without enterprise architecture oversight.
Inspectable Evidence Ledger
Classified evidence items supporting, extending, or refining this canonical research specification.
| Evidence Item | Publisher | Evidence Type | Strength | Role | Action |
|---|---|---|---|---|---|
| The Cost of Unmanaged Agents | Architecture Today | Case Study | ★★★ | Supports | Inspect ↗ |
Recommended Citation
Ewing, R. (2026). "AI Agent Sprawl." Richard Ewing Research Canon. Available at: https://www.richardewing.io/concepts/ai-agent-sprawl
@article{ewing_ai_agent_sprawl,
author = {Ewing, Richard},
title = {AI Agent Sprawl},
journal = {Richard Ewing Research Canon},
year = {2026},
url = {https://www.richardewing.io/concepts/ai-agent-sprawl}
}