How to Decide Which Tasks to Delegate to AI Agents

Delegate work to an AI agent when errors are easy to detect, limited in impact, and straightforward to undo. Use an agent to prepare work for human approval when execution has significant consequences. Keep decisions that require difficult contextual judgment with an accountable person.

The unit of delegation matters: collecting evidence, drafting a recommendation, approving it, and carrying it out are separate tasks. They do not need the same level of autonomy.

Ask three questions before delegating

Can you undo a mistake? Correcting a ticket label is usually simple. Recalling a customer email, recovering deleted records, or reversing a payment may be difficult or impossible.
Who or what could be affected? Consider the people, money, data, and systems exposed to an error. An internal draft has a different impact from a published announcement or a change to a production database.
Can someone verify the result? A reviewer can compare a summary with its source figures. Evaluating a strategic recommendation may require experience and context that are absent from the agent's inputs.

Assess both the task and the agent's demonstrated ability to perform it. Low consequences make a task a better pilot; they do not make an unreliable output useful. TipsMake's guide to choosing suitable AI tasks provides a related screening approach.

Illustration of task delegation options

Choose a level of human involvement

Approach	When it fits	Example
Agent executes within limits	Low-impact, reversible work with clear checks	Label support tickets, with a correction route and sample review
Agent prepares; person approves	Useful automation where an error in the final action would matter	Draft a customer newsletter for review before sending
Person decides and directs	Consequential choices requiring contextual judgment	Decide whether to end a supplier relationship, using agent-collected evidence

A high-risk task does not rule out every AI contribution. An agent may organize evidence while a person evaluates it and authorizes the outcome. Conversely, an easy-to-check result should be checked before a consequential action, not only afterward.

Increase autonomy through demonstrated reliability

Start a new workflow with observation and drafting. Review outputs against real examples, including missing data and unusual cases. Once performance is dependable, allow a small set of reversible actions with logs and spot checks. Retain approval for consequential steps and a clear way to pause the workflow.

Illustration of increasing agent autonomy in stages

An impressive demonstration is not evidence that the workflow handles exceptions. Expand permissions only for the tasks that have been tested. Reassess after changes to the model, tools, data, or business process.

For example, an email agent should first draft messages without sending them. Review factual accuracy, tone, recipients, and attachments. Even after the drafting step becomes reliable, decide separately whether any category of message is suitable for automatic sending.

Apply the method to a marketing team

Weekly campaign summary: let the agent compile a draft from specified dashboards. Check totals, reporting dates, and missing campaigns before relying on it.
Customer newsletter: use the agent for a draft, with a person checking claims, links, audience, and the final send.
Budget or supplier changes: ask the agent to organize performance data and identify uncertainties. A responsible manager evaluates the wider context and makes the decision.

Build a delegation checklist for your team

List five to eight recurring tasks and split each into preparation, decision, and execution. For every step, record what could go wrong, how you would detect it, how you would recover, and who owns the result. Assign the lowest level of autonomy that makes the workflow useful.

Before a pilot, define success criteria, permitted tools, prohibited actions, an escalation contact, and a review schedule. If a step already runs automatically but has no reliable check or recovery route, review that boundary first.

A useful approval process gives the reviewer the source material, uncertainties, and authority to reject the action. See how to keep meaningful human sign-off for that part of the workflow.