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Your company
The company named in the deliverable.
Keep this field from the AI: its content is replaced before the AI provider receives it, then restored in your deliverable.
Deliverable
Its title, its author and its structure are yours: they steer what is written.
As it will appear on the deliverable.
Shown as the author of the deliverable; never filled in by the AI.
Inventory configuration
The types you select decide which questions appear; they can be combined.
Function or name of the person who keeps this inventory.
Why it is being made.
General information
One line per use case: every other table refers to it by name.
One row per entry, e.g. “Support reply assistant; ; AI Use Cases; Drafts replies to customers; Answer faster; First reply under 2 hours; Customer support; Head of support; Operations director; IT manager; Active; 6 support agents; Fewer open tickets”
Governance and compliance
What governs each use case.
One row per entry, e.g. “Support reply assistant; GDPR, AI Act; AI use policy; Reviewed yearly; Support, Legal; Director approves new use; Replies checked by agents; Yes”
Risk and impact
What each use case can cost.
One row per entry, e.g. “Support reply assistant; Slower replies if down; Agents return to manual work; Account compromise at vendor; Customer data sent abroad; Low; Possible GDPR breach; Wrong reply to a customer; Zendesk, OpenAI; Agents approve each reply”
Lifecycle
Dates and reviews of each use case.
One row per entry, e.g. “Support reply assistant; 2026-01-10; 2026-02-15; 2026-03-01; 2026-09-01; 2027-03-01; ; Every 6 months”
Additional configuration
How deep the inventory goes.
One row per entry, e.g. “Support reply assistant; Works council informed; Yes, in May”
Paste what supports your answers; remove passwords and keys first. Each entry has a title and its text.
Applied when the AI writes the document.
Anything the service should take into account.
What the AI provider receives
Your answers, to write this deliverable.
Replaced first, then put back in your deliverable: Email addresses, People's names, Company names.