AI for Other industries

Not every company fits a ready-made sector template. Consulting, logistics, construction, media, associations, and many other fields have distinctive document sets but follow a common structure: a policy layer, an operations layer, and a compliance layer. Setup can be planned along those three layers.

A practical starting point: write down the five questions your team was asked most last month. If the answer to a question sits in a written document, that document is the scope of your first assistant. If the answer is written nowhere, the assistant will not solve it — it needs to be written first. That distinction is the most decisive step in setup.

Content that fits is written, relatively stable, and repeatedly asked about: policy documents, procedures, handbooks, contract templates, regulations, training material. Once indexed, this content keeps producing value for a long time.

Content that does not fit is fast-changing data: stock levels, daily prices, open order lists, live calendars. Held in a document index these go stale quickly; the right place is the system of record itself. Files containing personal data — HR files, customer identity records — should likewise stay outside assistant scope for data protection reasons.

For a company without a sector template, the right approach is to base the investment decision on measurement. The Free plan runs with 2 assistants, 100 documents, and 5 users, with no credit card and no time limit.

That capacity is usually enough for a pilot: attach one department's procedure set and test it against real question flow for two weeks. Answer quality is a direct reflection of document quality — a pilot measures your own documentation as much as it measures the product.