Cheat sheetAII-02

The Agentic AI Landscape

AI Intelligence / The Agentic AI Landscape

From copilots to autonomous agents, autonomy is a spectrum. Match delegated action to oversight controls and grant it incrementally.

1
Autonomy spectrumCopilot to tool-using agent to autonomous agent to multi-agent system.
2
Building blocksPlanning loop, tool/function calling, memory, and orchestration with guardrails.
3
Control trade-offHigher autonomy raises the risk floor; controls must scale up with it.
4
Incremental grantAdd autonomy as trust and oversight mature, not all at once.
⚑

For any proposed agent, write down what it can do, what it can access, what is logged, and how it can be halted or rolled back before it touches production.

Tiered supportCopilot drafts replies; tool agent issues capped refunds with logging; full-autonomy tier is gated on stronger controls.
Vendor probeAsk what an "agent" actually does and with what guardrails, rather than accepting the label.
Trap: assuming more autonomy is better; it is a control-for-leverage trade.
Controls that scale with autonomy: scoped permissions, logging, approval gates, spend caps, rollback.
Orchestrator routes work among agents and enforces guardrails.
agenticautonomyorchestrationtool-useoversight
review in 6d