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How Questili builds applied AI

Questili builds applied AI around one bounded job at a time, such as extraction, classification, or drafting, and keeps a person signing off on anything that matters.

By Questili · Updated October 10, 2026

Bounded jobs, visible decisions

Start with the job, then decide whether a model makes it clearer, faster, or safer. Inputs, permissions, approvals, retention, and failure modes are product requirements from the start.

It is the same approval-first pattern Avalon Flow runs on: models prepare the work, people approve it, and every action leaves a trail.

When not to use a model

Sometimes the right answer is ordinary automation, a better interface, or a clearer process. Questili uses a model only when the job needs one, and says so when it does not.

When a model is right, Questili can run it hosted, with the client's own provider account, or on private infrastructure.

Quick answers

Does every workflow need AI?

No. If standard automation or a better interface solves the problem without a model, Questili will choose that.

Can Questili extract data from invoices and documents?

Yes. Questili builds document workflows where a model drafts the line items, a person reviews them side by side, and only approved rows move on.