AI Governance Institute
All governance templates →Do we have a complete AI inventory?

Implementation Kit

AI Inventory Completeness Checklist and Discovery Survey

For the second pass, when the question is whether the inventory is actually complete. A master template, an amnesty disclosure survey, a reconciliation log that proves every discovery method was run, and a standing quarterly review agenda.

Who this is for: The governance lead who has an inventory already and needs to show it is complete and stays that way.

Download the kit (Markdown) ↓4 artifacts. Every table also copies as CSV.

1. AI inventory master template

Spreadsheet

The consolidated list. One row per system, reconciled from every discovery source.

Template

SystemOwnerVendorUse caseData processedRisk tierDiscovery sourceDate addedLast reviewed
<system><name, role><vendor or in-house><what it does><data categories>Minimal / Limited / Highcontract audit / survey / network scan / prior listYYYY-MM-DDYYYY-MM-DD

Worked example

SystemOwnerVendorUse caseData processedRisk tierDiscovery sourceDate addedLast reviewed
Resume ScreenerD. Portillo, TalentGreenhouse + in-houseApplicant rankingCVs, contact detailsHighprior list + contract audit2026-02-112026-08-30
Meeting NotetakerR. Cho, ITOtter.aiCall transcription and summaryMeeting audio, participant namesLimitedemployee survey2026-09-012026-09-01
Ad Copy GeneratorL. Suarez, MarketingChatGPT (team)Draft ad variantsCampaign briefs, no customer dataMinimalnetwork scan2026-09-022026-09-02

Acceptance criteria

  • Every row records which discovery method surfaced it, so coverage gaps are visible.
  • The list has been reconciled against any prior inventory, with additions and removals noted.
  • Each row has a named owner and a risk tier.

2. AI disclosure survey

Document

The amnesty survey that surfaces tools procurement never saw. Same framing as the shadow-AI survey in the inventory-and-classification kit.

Template

All staff. Short. Amnesty first.

Intro: We are confirming the list of AI tools in use so we can support them. Not an audit. Nothing you disclose is held against you. Disclosed tools get a fast review and a path to approval.

Questions:

  1. Which AI tools do you use for work, including personal-account or free-tier use?
  2. What do you use each for?
  3. What category of information goes into it?
  4. Did it come through IT or procurement, or did you start using it directly?
  5. Would switching it off tomorrow disrupt your work?

Worked example

Response, T. Bauer, Sales:

  1. Gemini in the personal Google account; the CRM's "draft email" button.
  2. Gemini for prospect research summaries. CRM button for follow-up emails.
  3. Gemini: public company info. CRM: contact names and deal notes.
  4. Neither. The CRM feature appeared in an update.
  5. Gemini yes, CRM button no.

Triage: CRM draft-email feature puts deal notes through a vendor model. Confirm data handling with the CRM vendor, add as Limited. Personal Gemini use: route to the enterprise tenant, add as Minimal.

Acceptance criteria

  • The survey reached all staff, and response rate is tracked and chased.
  • Every disclosed tool is triaged and either added to the master template or ruled out with a reason.

3. Discovery reconciliation log

Spreadsheet

The evidence that completeness was actually pursued: which sources were run, what each found, and what was new.

Template

Discovery sourceRun dateRun bySystems foundNew (not on prior list)Notes
Vendor contract auditYYYY-MM-DD<name><count><count>
Employee disclosure surveyYYYY-MM-DD<name><count><count>response rate
Network endpoint monitoringYYYY-MM-DD<name><count><count>window covered
Expense and card reviewYYYY-MM-DD<name><count><count>
SSO / OAuth grant reviewYYYY-MM-DD<name><count><count>

Worked example

Discovery sourceRun dateRun bySystems foundNewNotes
Vendor contract audit2026-08-18Procurement2233 vendors added AI features post-signature
Employee disclosure survey2026-08-25AI Gov Lead311174% response rate; second reminder sent to non-responders
Network endpoint monitoring2026-08-28Security14214-day capture of traffic to known model API domains
Expense and card review2026-08-29Finance91one personal-card AI subscription
SSO / OAuth grant review2026-08-31IT1244 third-party apps with model API scopes

Acceptance criteria

  • At least three independent discovery methods were run, not one.
  • Each source names a run date and an owner, so the exercise can be repeated on a cycle.
  • Every new system found is reflected in the master template.

4. Quarterly inventory review agenda

Document

Keeps the inventory from going stale. A standing agenda for the review meeting.

Template

45 minutes, quarterly, owned by the AI governance lead.

  1. New systems added since last quarter (from procurement, onboarding, incident triage)
  2. Systems retired or replaced; confirm register updated
  3. Rows with a review date now overdue; assign catch-up owners
  4. Tier changes: any system whose use case or data changed
  5. Rows still missing an owner or a tier
  6. Discovery refresh: is any method due to be re-run?
  7. Actions, owners, dates

Worked example

Q3 2026 review, 2026-10-05:

  1. Added: 4 (2 from procurement, 1 from onboarding, 1 from a Sev-2 triage). All tiered and owned.
  2. Retired: 1 (legacy chatbot). Register updated.
  3. Overdue reviews: 6, down from 11. Assigned to owners with a 2-week deadline.
  4. Tier changes: support copilot moved Minimal to Limited after it started drafting refund decisions.
  5. Missing owner or tier: 0.
  6. Discovery refresh: network scan due, scheduled for 2026-10-20.
  7. Actions logged.

Acceptance criteria

  • The review is on the calendar for the year with a named owner.
  • Every overdue row leaves the meeting with a catch-up owner and a date.
  • The discovery methods are re-run on a defined cadence, not only once.

Governance controls this kit produces evidence for

Completing the artifacts above gives you a head start on the evidence requirements for these controls.

MGV-002
MGV-002

The reconciliation log and quarterly agenda show intake is a continuous process feeding the register, not a one-off.

HOC-001
HOC-001

Every master-template row carries a risk tier from the same classification method.

PRC-014
PRC-014

The disclosure survey and reconciliation log evidence an active hunt for shadow and embedded third-party AI.

SCT-009
SCT-009

The completed master template is the algorithm register.

DGC-002
DGC-002

The "data processed" column records where personal data enters each AI system.

This kit backs one playbook. Read the full guidance for the reasoning behind each artifact.

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