Secrets management fatigue, often caused by decentralized and manual handling of credentials, poses significant challenges to platform teams, leading to security risks and operational slowdowns. The rise of Non-Human Identities (NHIs), which are automatically created by cloud services and CI/CD pipelines, exacerbates this issue, rendering traditional access models ineffective. This necessitates a shift towards centralized secrets management systems that can automatically rotate credentials, track secret usage, and enforce access controls. Fragmented approaches using multiple tools create silos and inconsistencies, whereas a centralized orchestration approach consolidates secrets management, reducing complexity and operational burnout. The integration of AI agents further complicates secrets management, making it crucial to adopt systems like Doppler, which provide a central orchestration layer to manage secrets efficiently and securely, thereby alleviating fatigue and improving governance.