# Operational excellence Organizations that operate agents through systematic, evidence-based practices ship improvements faster, recover from issues sooner, and maintain stakeholder confidence as agent portfolios scale. Operational excellence in agentic AI extends traditional DevOps and AIOps with agent-specific capabilities including prompt lifecycle management, behavioral monitoring, multi-faceted evaluation, and human-in-the-loop governance. Through iterative refinement, thorough observability, and evidence-based decision-making, organizations can operate agents reliably at scale while continually improving their performance, cost efficiency, and alignment with business objectives. **Capabilities** + [Operational practices for agentic AI systems](agentops01.html) + [Prompt and configuration lifecycle management](agentops02.html) + [Agent lifecycle and deployment processes](agentops03.html) + [Tool integration and management practices](agentops04.html) + [Observability and monitoring for agentic systems](agentops05.html) + [Testing, evaluation, and validation frameworks](agentops06.html) + [Operational recovery and consumption monitoring](agentops07.html)