Deploying AI agents is not your typical software launch - 7 lessons from the trenches
Summary
AI agent deployments require different planning and controls than traditional software launches. Prioritize governance, observability, and AgentOps from the start because retrofitting oversight leads to costly redesigns. Scope agents narrowly, ensure high-quality data, and keep humans in the loop proportional to the reversibility of actions to avoid unpredictable behavior. Design for modular, specialized agents, manage context carefully, and build adaptability to prevent vendor or model lock-in as the technology evolves.
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HealthTech
applications
Business Intelligence
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SaaS
Enterprise Software
Collaboration Software
