Governing AI Agents: Start With an Authority Map
Before choosing an agent framework, decide what an agent may read, propose, execute and never touch. A practical method for drawing that boundary.
Insight topic
Agentic AI insights
Agent architecture, tool use, authority boundaries and governance for agentic systems. Articles in this topic are written for leaders and practitioners who need practical, evidence-based guidance.
2 articles in Agentic AI
RPA, AI Workflows or Agents? Choosing the Right Level of Automation
Agents are not always the answer. A decision guide for matching each process step to rules, robotic automation, AI workflows or agentic execution.
Topic guide
Understanding agentic ai
Agentic AI systems plan steps and use tools to complete tasks. They extend what AI can do in operations and also introduce new questions about authority, security and accountability. Articles here focus on designing and governing agents responsibly.
FAQ
Key questions about agentic ai
When is an AI agent the right choice?
When the steps needed to complete a task vary from case to case. If the steps are always the same, a workflow is simpler and easier to audit.
What controls do AI agents need?
Narrow, permissioned tools, approval gates for consequential actions, limits on steps and spend, full tracing, and testing against manipulation and failure.
Who is accountable for an agent's actions?
A named business owner remains accountable. Agents act within authority granted by people and should never hold unbounded permissions.
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Services related to agentic ai
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