AI Actions on Mobile: Which Tasks Need Approval?
Set approval rules for workplace agents in mobile apps: let low-risk suggestions flow, but require informed confirmation before consequential actions run.
Workplace agents may make it easier to automate tasks employees now start or review on a phone. The product question is not simply whether an agent can perform an action, but when the app must pause and ask a person to approve it. Recent workplace-agent coverage in Google Trends FR, including reporting by Reuters, makes this a timely design decision—not evidence that any one product or workflow is right for your organisation. This guide offers a practical approval framework for mobile teams: separate suggestions from execution, assess consequence and reversibility, and give employees enough context to make a meaningful decision before anything changes.
Classify actions by consequence, not by how easy they are
Start with the effect of an action if the agent gets it wrong. A draft summary, suggested task label or proposed reply that remains private is usually low consequence: the employee can inspect it, ignore it or edit it. Updating a shared record, sending a message, assigning work or changing a customer-facing status has a wider effect and deserves a stronger gate. Money movement, access changes, contractual commitments, deletion and safety-related instructions should receive explicit approval, and may need a second authorised person or a separate process. These are product-policy choices, not universal legal categories; define them with the people accountable for each workflow.
Add reversibility and reach to the classification. Can the employee undo the action reliably, and will undoing it fully correct what others have already seen or relied on? A calendar suggestion is different from sending an invitation to external participants; changing a draft is different from publishing it to a team. Also consider scope: a single internal task differs from a change applied across many records. When uncertainty remains, default to a preview or a handoff rather than silent execution. Document the reason for each approval tier so that product, operations and engineering teams can implement the same policy consistently.
- Low risk: private drafts, summaries and recommendations that do not change shared business records.
- Approval required: external messages, shared-record updates, work assignments and actions that are difficult to reverse.
- Restricted: sensitive, high-impact or regulated actions that may need a separate control or human process.
Design the mobile confirmation as a decision, not a speed bump
A useful approval screen answers four questions before the employee taps: what will happen, which data or recipients are involved, why the agent proposes it, and what happens next. Show the actual message or changed fields, not a vague description such as “complete task.” Identify the account, project or record being affected, and distinguish verified inputs from the agent’s interpretation. If the proposed action has a deadline, financial implication or external audience, make that visible beside the decision. The employee should be able to edit, reject or ask for clarification without losing the context that led to the proposal.
Keep approval tied to the exact proposed action. If the employee edits recipients, amounts, dates or scope, treat the result as a changed proposal and present the final version for confirmation. Avoid approval buttons that bundle unrelated actions or imply that a tap authorises future similar actions indefinitely. On a small screen, summarise the material consequences first and let the user expand supporting details. Provide accessible labels and a clear pending state, and make failure or timeout visible. Do not let a network retry turn one approval into duplicate messages or repeated updates; execution should be safely identifiable and its resulting status returned to the app.
- Show the proposed change, target, recipients and relevant source context in the confirmation view.
- Offer clear approve, edit and reject choices; explain what rejection does.
- Confirm completion or failure, and prevent retries from duplicating the action.
Pilot one workflow and test the approval boundary
Hypothetical example: an operations app lets an agent review an employee’s field report and prepare a follow-up. It can privately suggest a summary and categorise the report without approval because nothing has yet changed for colleagues. Before it assigns a technician, updates a shared case status or sends a customer message, the app shows a review screen with the proposed text, case identifier, recipient and reason. The employee can edit or decline. If the agent cannot identify the right case confidently, it stops and asks the employee to choose rather than guessing. This narrow flow lets a team test usefulness and control together without assuming full workflow automation.
For an MVP, agree the action inventory with process owners, label each action by impact and reversibility, then implement only one approval path. Test correct proposals, incorrect targets, missing context, edited details, declined actions, slow connections, duplicate taps and retries. Record the proposal, displayed context, decision, acting identity, final payload and execution result in an auditable event history, subject to your retention and privacy requirements. Evaluate whether employees understand what they approved, whether actions are completed correctly, and where they abandon or correct proposals. Those observations can guide the next scope decision; approval taps alone do not demonstrate that the agent is reliable or the workflow is improved.
- Choose one bounded workflow with an identifiable owner and a clear existing process.
- Test both successful approvals and failure, correction, rejection and retry paths.
- Review comprehension and execution quality before expanding the agent’s permissions.
A mobile approval rule should follow consequence, reversibility and reach—not the novelty of the agent or the convenience of a one-tap action. Let private, low-impact suggestions remain lightweight; pause before changes that affect colleagues, customers, records or commitments. For an initial build, select one workflow, show the exact proposed outcome, make editing and rejection practical, and preserve a proportionate audit trail. This gives product and engineering leaders a testable boundary for automation and a disciplined way to expand scope only when the workflow warrants it.