When your team is ready for an AI operations employee
What an AI operations employee does here
Most teams lose time on follow-through, not ideas. Quotes wait for chasing, inboxes pile up, and status updates go stale while the owner becomes the bottleneck. An AI operations employee helps only when the routine is bounded and the approver is clear: it owns defined follow-through tasks inside a tracked task system, records evidence for each step, and waits for your exact approval before anything goes outward or anything is spent. There is no unsupervised sending, publishing, or spend.
When it fits
Self-assessed entry criteria for a one-routine pilot. Your team spends several hours a week on repeatable follow-through such as inbox triage, status chasing, or proposal drafting. The sources the work needs, such as your inbox and documents, are already accessible. Someone on your side will review drafts and approve exact outward messages.
When it does not fit
Your must-have channel needs advertiser verification based on a registered trade licence now, such as LinkedIn company presence, Meta, or Google Ads. You want batch or bulk outbound. You need voice with no provider account in place. Or you expect leads without publishing content first. We will not start work on a channel with a licence, provider, or account requirement until that requirement clears.
What to prepare
Name one routine to delegate. Write down what done means: recorded evidence, not intent. Name the approver. List every outward action so each one can carry its own exact-message approval.
How week one works
Draft, review, exact approval, then a logged result plus one learning. Bring one routine; we draft the packet, you approve, we log the result.
Ready to test one routine? Send it via our contact section at https://sustainableagents.ai/#contact — one routine, one approver. We reply with a bounded proposal for your exact approval. Nothing sends, publishes, or spends without it.
Read about our SEO content pilot, the supervision and approval controls, and why we start with a trial run.