Human approval planner
Describe one AI task and see the level of human control it needs, with a control pattern your team can set up.
0/6answered
How the scoring works
- A professional sign-off, such as legal advice or a credit decision, stays manual, with AI limited to gathering and summarizing inputs.
- An action that touches money, legal terms or safety directly, or that cannot be undone, needs a named person to approve every item.
- Otherwise the answers add risk points: up to 2 automates fully, 3 to 5 samples, and 6 or more needs approval on every item.
- An irreversible or high-stakes action where errors do serious harm stays manual if the system cannot show its confidence or source, because a reviewer would have nothing to check against.
- The sample share, confidence threshold and escalation time are settings your team chooses. The starting values are placeholders, not recommendations.
- The level is a starting point for planning. Test it on real past cases before anything goes live, and review it as results come in.
What to do next
Carry this into the next step, the full guide or the service behind it.
AI fit checkGet a structured read on one workflow: the service it calls for, what AI could take on, what stays with a person, and how ready it looks to start.Open the tool AI workflow automation: a practical guide for operations teamsAI workflow automation puts AI models inside a defined business process to read, classify and prepare work, while fixed rules, integrations and named people handle the steps that must be predictable. It suits repetitive, document-heavy or request-heavy work such as intake, routing, document checks and approvals. Start with one measurable workflow, keep consequential approvals with an accountable person, and expand only once the numbers show it works.Read AI Integration & AutomationAutomate the routine work between your systems, with people kept in the decisions.See the service
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