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Which Work Tasks Should I Keep Manual Instead of Using AI?
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Use a practical five-part scorecard to decide when work should stay manual, use AI for a draft, or require human approval.
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Keep a work task manual when it crosses a confidentiality or organisational boundary, a wrong output could cause serious harm, nobody can independently verify the result, or the decision itself must be made by an accountable person. Use AI for a reversible draft only when the inputs are allowed and a person can check every material part. Between those cases, use AI only with a named human approver.
The useful question is not “Can AI do this?” It is “Can we detect and correct a bad result before it matters?”
Do not score a department or an entire workflow. Score one output and one decision at a time. “Prepare the monthly finance pack” is too broad. It might include:
Each activity has a different risk profile. A rule-based copying step may be easy to check. A forecast decision may depend on context, ownership and approval rules. Scoring them together lets a low-risk step hide a high-risk one.
Write the task as one sentence:
Using [allowed inputs], produce [output] for [audience], before [deadline or decision].
This exposes the inputs, output and intended use. It also prevents an approval decision from being disguised as “just a draft”.
This is a first-party decision aid, not a validated risk standard. It begins with a boundary gate, then scores five frictions: Sensitivity, Verifiability, Consequence, Reversibility and Approval. A boundary can stop the task before a convenience score rationalises it.
Keep the task manual and escalate it if any of these is true:
A tool being available does not overrule a workplace boundary. If the rule is unclear, treat that as a stop and ask the appropriate owner.
Score each dimension from 0 to 2. A higher score means a stronger reason to keep more of the task human.
| Dimension | 0 — Low friction | 1 — Mixed | 2 — High friction |
|---|---|---|---|
| Sensitivity | Inputs are public or explicitly cleared for the chosen tool. |
FAQ
Sources
| Inputs are internal but cleared for this use, with defined handling rules. |
| Inputs are restricted, personal, client-confidential or not cleared. |
| Verifiability | A reviewer can check every material claim directly against approved inputs. | Some parts are checkable; others depend on interpretation or incomplete evidence. | There is no independent method, qualified reviewer or sufficient evidence to check the result. |
| Consequence | An error would be a minor internal inconvenience and would not alter rights, access, pay, health, safety or a material commitment. | An error could cause significant rework or a misleading message but should be caught before a binding action. | An error could alter rights, access, pay, health, safety, a binding commitment or another material outcome. |
| Reversibility | The output is an unsent draft or disposable note that can be replaced. | It can be corrected, but not without cost, confusion or a record of the first version. | It triggers an action that is hard to undo or persists in an important record. |
| Approval | No special sign-off is required before use. | A peer or manager must review it under a normal workflow. | A designated specialist, control owner or formal approver must sign off. |
Verifiability scores the difficulty of checking, not how fluent the output appears. A polished answer that nobody can check is a high-friction output.
Add the five scores for a total between 0 and 10.
Apply these overrides even if the total is lower:
If two people score an ambiguous item differently, use the higher score until the appropriate owner clarifies it.
Copy this for each clearly defined task.
| Field | Your assessment |
|---|---|
| Task sentence | |
| Boundary gate: any stop? | |
| Sensitivity (0–2) | |
| Verifiability (0–2) | |
| Consequence (0–2) | |
| Reversibility (0–2) | |
| Approval (0–2) | |
| Total | |
| Override triggered? | |
| Outcome | Keep manual / AI-assisted draft / AI-assisted with approval |
| Named owner | |
| Evidence used to verify |
The last two rows matter. “A human in the loop” is not a control until the human is named and knows what evidence to check.
Hypothetical task: Using a list of cleared project milestones, produce an unsent weekly update for the project team.
Total: 1. Outcome: AI-assisted draft.
The review is not a quick proofread. The owner checks every date, name, status and next step against the cleared milestone list. The human remains responsible for what is sent.
Hypothetical task: Using an approved purchase order and an internal note, prepare an email accepting a new delivery date.
Total: 4. Outcome: AI-assisted with approval.
Name the procurement owner before drafting. That person checks the order number, date, quantity, terms and recipient. The email stays unsent until approved. If the change creates a binding commitment, reconsider the consequence and approval scores rather than reusing this result.
Hypothetical task: Using performance information and pay data, decide whether an employee’s compensation should change.
Total: 10. Outcome: keep manual.
The compensation judgement stays human. Do not treat an AI-generated recommendation as a neutral second opinion. A different, narrow task—such as formatting an already approved, non-sensitive template—would need its own boundary check and score. It does not change who owns the compensation decision.
| If this is the dominant factor… | Default to… | Before proceeding… |
|---|---|---|
| The input or tool is not allowed | Keep manual | Stop and ask the policy or data owner |
| Nobody can independently verify the result | Keep manual | Define a verification method or use a qualified human process |
| The result is a reversible, unsent draft from cleared inputs | AI-assisted draft | Compare every material claim with approved inputs |
| An error can be found but would be costly to reverse | AI-assisted with approval | Name the approver and block use until sign-off |
| The output changes rights, access, pay, health or safety | Keep the decision manual; escalate | Follow the applicable expert and organisational approval path |
A completed worksheet is a decision record, not proof that a workflow is safe. Regulated, safety-critical, legal, medical, financial or people-related work should follow the applicable expert and organisational approval path rather than relying on this general guide.
There is no universal list based only on a task’s name. Keep a task manual if it fails the boundary gate, or if the stakes are high and the output cannot be independently verified. Score the actual inputs, output and action instead of relying on a generic category.
No. Review only works when the reviewer is qualified, has reference evidence, has time to check the result and can block it before action. Otherwise, “human review” is only a label.
Do not assume an AI opinion is independent, neutral or correct. If a decision affects rights, access, pay, health, safety or a binding commitment, keep accountable judgement with the appropriate person and follow the required approval process.
Sometimes. Change the task, not its score. For example, separate formatting an approved template from deciding what belongs in it. The narrower task still needs its own boundary check, score and review path.
Re-score when an input, audience, tool, approver, delivery method or automatic action changes. A previous decision does not automatically apply to a new version of the task.
For a structured foundation in asking, choosing, reviewing and delivering AI-assisted work, browse the TakeAICourse course library. It includes the beginner course “AI Essentials: ChatGPT, Gemini, and Claude in 7 Lessons”. Your own policies and approvals still govern the task.