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56m • General Discussion 💬
The approval gate is the system 💻
One thing I think gets underrated in AI automation:
The approval gate is not a small detail.
It is part of the system.
If agents are helping with real business work, they need to know when to continue and when to stop.
Examples:
- Revenue Ops agents can research leads, draft follow-ups, update CRM fields, and flag hot opportunities, but a human should approve risky outbound messages.
- Finance agents can check invoices, match records, and prepare reconciliation notes, but a human should review exceptions.
- Vendor agents can collect docs, send reminders, and track missing steps, but a human should handle mismatches.
- Engineering agents can break down tasks, run checks, and summarize changes, but an engineer should review before shipping.
That is what separates a useful automation from a risky one.
The best agent systems are not just autonomous.
They are clear about memory, schedules, tool access, limits, exception paths, and human review.
If the approval gates are weak, the system will not be trusted with real work.
Where do you usually place the human approval step in your automations?
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The approval gate is the system 💻
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