AI workflow automation you can hand to someone else

The hard part of automating work is not the AI. It is making the result repeatable, visible and safe enough that you can stop watching it. That is what a workflow is for.

From a description to a running process

Describe the process in plain words and AIK tells you which parts can be automated, what they would save, what they would cost to run — and what it could not work out. If you accept, it builds the workflow. It arrives switched off: you can walk through it as a dry run, but it cannot touch live data until a person activates it.

The pieces a workflow is made of

Documents, without a template per supplier

The document pipeline reads PDFs, scans and phone photographs — the picture goes to the model as a picture, with OCR only as a fallback — pulls out the fields you defined, checks them (required, minimum, maximum, pattern, arithmetic against the total, unusual amounts, an unknown supplier, a digital signature) and writes the result to Excel, CSV, JSON, a database, your API or an email. Anything failing a check is held for approval instead of going out silently.

Schedules, webhooks and chains

Run it hourly, nightly, on a cron expression, from an incoming webhook, or when another workflow finishes. A scheduled run is built from the same definition as a manual one, so it keeps the approval gates and marks its output the same way.

What it costs, and what it saved

Every run records its tokens, its model and its price — scheduled runs, chat, script agents and phone calls included. Set the minutes a run saves and the platform reports the hours back. No estimated savings and no invented numbers: an unknown price is shown as unknown.

Yours to host

Install it on your own server and run models locally, or use the hosted version — one installer, no separate editions. Updates are signed, verified before they apply, and reversible together with the database.

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