Implement and deploy AI agents into internal Gatekeeper workflows. Work directly with internal teams to understand processes and identify AI use cases. Configure agent behavior through prompts, tools, rules, and guardrails. Integrate AI agents with existing systems, data sources, and internal tools via APIs, webhooks, and integrations. Use Python for orchestration, data handling, automation, and evaluation. Test, iterate, and refine AI agents based on real usage and feedback. Monitor deployed agents for accuracy, reliability, and business impact. Collaborate on agent standards, tooling, observability, governance, and ROI. Document implementations and help establish repeatable internal AI deployment patterns.