Which task would you like to stop doing by hand?
Describe it in three sentences. We reply with what we would automate first, what it would cost, and what should stay human.
The report someone assembles every Monday. The leads copied between two systems. The posts nobody has time to write. The invoices waiting for a human to press send. We build the automation, keep a person at the one step that needs judgement, and hand you the switch.
Anything a person does by clicking, copying and pasting between browser tabs and desktop apps: data entry, reconciliations, status updates, the weekly report. If it has steps, it can be scripted.
CRMs, spreadsheets, email, chat, accounting, property portals. We connect them through their APIs, or through the screen when there is no API, so the person stops being the bridge.
Drafts, summaries, replies, social posts, listing descriptions. AI writes the first version; a person approves it in the tool they already use, such as Telegram or a shared folder. Our own social publishing pipeline runs exactly this way.
Approvals, payments, publishing, deletions. The automation prepares everything and stops. One tap from a person finishes it. That gate is not a limitation; it is the design.
We watch how the task is done today, count the hours, and pick the automation with the best return. Usually it is not the one you expected.
The automation runs next to the manual process until you trust it. Every action it takes is logged where you can see it.
A runbook, a person on your side who can pause it, and the workflows in your own accounts. Then it just runs.
The lab’s social channels, its publishing, its token renewals and its reporting are automated with the same tools we would set up for you, each with a human at the one step that matters. We know where automations break, because ours have.
Self-hosted where it makes sense, so your data and your workflows stay in your accounts, with no per-seat pricing in the way.
See the social publishing pipeline case studyDescribe it in three sentences. We reply with what we would automate first, what it would cost, and what should stay human.