How to solve agent sprawl (www.techradar.com)

The rise of AI-driven agents across various departments is leading to a phenomenon known as "agent sprawl," reminiscent of earlier SaaS sprawl. This fragmentation occurs as teams independently deploy specialized AI agents, resulting in disconnected models and governance processes. Such disorganization poses significant challenges, including increased security risks and difficulties in demonstrating return on investment, as multiple teams may inadvertently duplicate efforts without a unified strategy aligned to broader business goals. To address agent sprawl, the implementation of an orchestration layer is essential. This control framework can standardize governance, security, and deployment of AI agents, allowing organizations to efficiently manage and monitor these technologies. By creating visibility over existing agents and their interactions with core business workflows, orchestration can transform isolated experiments into scalable infrastructure. Ultimately, establishing such a system not only enhances trust in AI applications but also ensures that innovation remains closely tied to organizational objectives, enabling companies to harness AI's full potential while minimizing risks.