The first question anyone sensible asks about handing work to an AI agent is not "can it do this" but "what happens when it gets something wrong". That is the right instinct. Delegating work is only comfortable when you stay in control of the parts that matter, and a system built for agents should make that control the default, not an afterthought.
Control is the real question
An agent that can act on your business is powerful precisely because it can act. The job of the platform is to make sure it acts only within boundaries you set, surfaces the decisions that genuinely need a person, and leaves a record of everything it did. Get those three things right and delegation stops feeling like a leap of faith.
Permissions decide what it can touch
An agent never has more reach than the person it acts for. It can use the tools that person is allowed to use, and nothing else, checked when the tools are offered to it and again at the moment it tries to run one. A clerk's agent cannot read the payroll; a manager's agent can approve leave but still cannot change the books if that was never their permission. The boundary is the same one you already trust for people.
Approvals catch the decisions that need you
Doing the work and deciding the work are different things. A well-designed agent does the work and routes the decisions: it drafts the refund, raises the purchase order, prepares the contract, then pauses for a person to approve the ones that cross a threshold you define. You sign off on what matters and never see the hundred small steps that do not, which is exactly the balance a good human delegate strikes.
Budgets keep spend from running away
Because an agent's work consumes usage, control also means cost control. Usage draws from a balance you top up, with a ceiling and optional auto-recharge, so spend tracks activity and cannot quietly spiral. You decide the budget; the agent works within it and stops rather than overrunning it.
The audit trail keeps it accountable
Every action an agent takes is recorded: what it did, on whose behalf, and when. That record is what turns "the computer did it" into genuine accountability. If you ever need to explain a decision, reverse a step, or satisfy an auditor, the history is there. Oversight after the fact is as important as the guardrails before it.
Keeping a human in the loop is not a brake on agentic work; it is what makes it safe to lean on. See how SOIS enforces these boundaries, or launch a workspace and set the limits yourself before you hand over a single task.