How to choose between automation and an AI agent for a workflow

Teams don't need another explainer — they need a way to decide. Use this checklist the next time a workflow lands on your desk and someone asks whether to automate it or hand it to an agent.

Step 1 — Map the decision points

Walk the workflow end to end. At each step, write down who currently decides: a person, a rule, or nobody (the step is mechanical). Steps with no real decision are automation candidates. Steps with judgment calls are where agents earn their keep.

Step 2 — Score each decision on four dimensions

• Reversibility — can you undo the action cleanly, or does it touch money, customers, or records permanently?
• Blast radius — what does one bad call cost in dollars, reputation, safety, or compliance exposure?
• Frequency — dozens per day or a handful per quarter?
• Definition of good — can you write the success criteria in one sentence, or is it inherently fuzzy?

High reversibility + low blast radius + high frequency + fuzzy criteria is the sweet spot for an agent. Low reversibility + high blast radius means keep a human in the loop no matter what.

Step 3 — Pick the pattern

1. Clear rules, stable inputs → automation.
2. Fuzzy inputs, clear guardrails, reversible actions → agent with human on the loop.
3. Fuzzy inputs, high-stakes actions → agent with human in the loop, using explicit approval gates. See Human-in-the-Loop Approvals for AI Agents.
4. Anything touching regulated data → add permission boundaries before you ship.

Step 4 — Instrument before you scale

Before widening autonomy, log every decision the agent makes and every tool it calls. That log is what turns a pilot into something you can defend to auditors and to your board.

When you're ready to design the workflow with executive oversight, Silverberry's AI consulting services and AI Agents Store plug directly into this decision.