Agent design
Design bounded AI agents with a clear mandate, the minimum required tools and data, explicit handoffs, and safe exception paths.
Three questions to guide the work
- What can the agent decide on its own?
- Which tools and records may it access?
- When must it stop and hand work to a person?
Move from research to an actionable decision
Guides in this topic
Designing Effective Human Handoffs for AI Agents: A Pragmatic Framework
Learn to design human handoff patterns for managed AI agents that ensure timely escalation, comprehensive context transfer, and clear ownership, enhancing operational capacity and workflow efficiency.
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Designing AI Agent Memory for Business Workflows: A Pragmatic Framework
Learn how to design AI agent memory effectively for business workflows. Distinguish between task context, durable records, and knowledge retrieval to enhance operational capacity, manage risks, and ensure data privacy.
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Designing Robust AI Agent Exception Handling: A Pragmatic Framework
Learn how to design robust exception handling for managed AI agents, ensuring operational resilience and effective human oversight. This guide covers exception taxonomy, queue ownership, service levels, and feedback.
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Crafting an AI Agent Mandate: A Pragmatic Guide for Operational Control
Learn how to define a clear, operational mandate for AI agents, establishing explicit authority, limits, and review paths for safe, effective deployment in your organization.
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