Founders often talk about human approval as if it is a temporary limitation: the system is “not fully autonomous yet.”
I think that is the wrong framing. In many business workflows, an approval gate is part of the architecture, not a bug.
A SIMPLE RULE
The harder an action is to reverse, the more expensive it is, and the more visible it is to customers, the stronger the case for human approval.
Five actions I default to approval
- Money: payments, ad budget, refunds and purchasing commitments.
- Public publishing: customer-facing posts, claims, outreach and reputation-sensitive messages.
- Deletion: anything that removes records, files, content or history.
- Pricing and commercial terms: discounts, quotes, contracts and exceptions.
- Production data: rules or records that downstream systems rely on to operate.
Approval does not mean manual execution
The AI system can still do almost all the work. It can gather evidence, calculate options, draft the change, explain the expected impact and prepare the exact action. The human only needs to approve or reject the final step.
That is a very different workload from doing the whole task manually.
Use risk tiers instead of one global rule
Not every workflow needs the same level of control.
- Tier 1 — automatic: read, calculate, classify, summarize.
- Tier 2 — automatic with logging: create internal tasks, update low-risk fields, route information.
- Tier 3 — approval required: publish, spend, delete, price, commit.
When can you remove the approval gate?
I would only reduce human review after the action is stable, reversible, low risk and has been correct across enough real cases to understand the exceptions.
Autonomy should be earned by evidence, not granted because the tool can technically click the button.
What approval should look like
A good approval request should contain enough information to make a decision quickly:
- what triggered the request;
- what evidence the system used;
- what it recommends;
- what will change if approved;
- what the downside is;
- whether the action can be reversed.
This is one layer of the broader five-layer AI automation system. The goal is not to keep humans everywhere. It is to keep them exactly where judgment and accountability still matter.