What it does

Autonomous agents act without a person in the conversation. An event fires a trigger, the agent follows its instructions, uses knowledge and tools to work out what to do, and completes a task on its own.

Key facts

• Driven by triggers (a new record, an incoming email, a scheduled event) rather than a user prompt.
• Instructions plus generative orchestration replace hand-scripted flows — the agent plans its own steps.
• Guardrails matter more here because no one is watching each turn; you set boundaries in instructions and tool design.
• Runs under a defined identity/connection, so its permissions are exactly what that identity can do.

When to use / skip

Use autonomous agents for repetitive back-office work that follows clear rules — triage, routing, first-pass drafting. Skip autonomy for high-stakes or ambiguous decisions where a wrong action is expensive and there's no human check.

Configuration decisions

• Which triggers start the agent and how often they can fire.
• The identity it runs as and the exact scope of its permissions.
• Approval or human-in-the-loop checkpoints before consequential actions.

Gotchas

• An autonomous agent with broad write permissions and loose instructions can do real damage quietly. Scope tightly.
• Runaway or looping triggers burn message capacity fast — cap and monitor them.

Consultant notes

• Start with a human-approval step, then remove it once you trust the behaviour — not the other way round.
• Least-privilege on the run-as identity is non-negotiable; treat it like a service account.
• Autonomy multiplies message consumption — model worst-case volume, not average.

---

Revisit as autonomous capabilities and guardrails evolve.