Answer

What is an AI workflow review?

An AI workflow review is a short diagnostic of one real workflow before anything is built. Tacit maps the task, inputs, users, review points, outputs and failure modes, then says whether an agent version is worth building and what the first useful output should be.

What the review covers

The review looks at where work starts, which sources matter, who reviews output, what systems are involved, what breaks today and what a good first version would deliver.

What the client keeps

The client keeps the workflow map whether or not Tacit builds the agent. That is important: the review should create value before implementation begins.

Evidence

Evidence notes

A workflow review tests whether one workflow is worth building.

Method
Capture current inputs, users, approvals, outputs and failure points before pricing or building the first agent version.
Source
Tacit contact and how-it-works pages.
Date
4 July 2026
Limitation
The review does not replace legal, compliance or procurement review for a live client engagement.
Owner
Tacit delivery lead

FAQ

Related questions

How long is the first call?

The public contact page describes a forty-five minute workflow review with the people who run the workflow.

What should we bring?

Bring one workflow, the systems or sources it uses, the current output and the point where human review matters.

Can Tacit say no after a review?

Yes. If the workflow is not worth building, or depends on data nobody can provide, Tacit says so at the review.

Last updated: 4 July 2026

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Bring us one workflow

Pick the one that eats your Tuesdays. We'll map it, show you what the agent version looks like, and tell you honestly if it isn't worth building.