A curated selection of AI agent patterns and reference implementations designed to demonstrate how agentic AI can be applied responsibly within governed, secure, and enterprise-ready environments.
What this showcases Reference agent designs that operate within defined roles, permissions, and oversight mechanisms.
Why this matters Demonstrates how agentic AI can be structured without uncontrolled autonomy or loss of accountability.
Typical examples Workflow coordination agents, decision-support agents, task orchestration agents, and monitored automation patterns.
What this showcases AI agent use cases aligned with enterprise functions such as operations, compliance, risk, and support.
Why this matters Helps organizations visualize where agents can add value without introducing regulatory or operational risk.
Typical examples Incident triage assistants, compliance support agents, knowledge retrieval agents, and internal process automation.
What this showcases Built-in security, monitoring, and governance controls embedded into agent designs.
Why this matters Reinforces that every agent example aligns with AI governance, information security, and risk management frameworks.
Typical examples Role-based access, audit logging, escalation paths, human-in-the-loop checkpoints, and kill-switch mechanisms.
The agents presented in this gallery are reference implementations and architectural patterns — not off-the-shelf products. Each solution is designed, governed, and implemented based on specific organizational requirements.