AI Inbox Audit

Map the workflow before requesting a build

Describe mailbox categories, languages, attachment types, approved knowledge, daily volume and the replies that require a named approver.

Use this worksheet without an account or email address. Start with one real example, keep sensitive details out and mark unknown answers explicitly. Its purpose is to expose dependencies and approval boundaries, not to convert a checklist score into permission for autonomous actions.

AI Inbox Audit

Production readiness review

Unchecked items are discovery questions. Even a fully checked list cannot establish security, provider compliance or readiness for a particular release. Attach evidence and an owner for each critical control, then exercise the failure path. You can print this page or export your notes without sending an enquiry.

A concrete workflow to compare

An international sales desk drafts a response to a product enquiry in another language. Product facts come from an approved catalogue, attachment fields are shown for verification and an account owner approves any price or availability statement before sending.

Use the findings to choose a first release

Rules and reusable templates handle stable categories with known fields. AI becomes useful for variable language or extraction; it should not negotiate prices or contractual changes.

Examine the system behind the proposal

The linked project pattern is a demonstration architecture. It explains constraints, data flow and validation without claiming a named client, deployment or measured result. A project proposal must verify the actual systems and acceptance criteria before adopting the pattern.

Start with one real workflow

Describe the result, current process and the exception that is hardest to handle. We review the scope before proposing a build. Your enquiry goes through a secure server-side form, and nothing you enter in a worksheet is sent automatically.