Agent Inventory Tool

Free browser tool

Free AI Agent Inventory Spreadsheet

Use a free AI agent inventory spreadsheet structure for ownership, purpose, tools, permissions, data, environment and review evidence.

A free AI agent inventory spreadsheet gives security, IT and governance teams a shared place to record who owns each deployment, what it is intended to do and which actions it can take. This AI agent inventory template separates the deployment from its model, so different workflows using one model can have distinct data, permissions and owners. It is a starting schema for manual review, not proof every agent has been found.

Why agents differ from models

A model is one component; an agent deployment also has a purpose, owner, runtime, connected tools, permissions and an allowed action level. Two workflows using the same model can need separate records when their data, access, human review or business owner differs. This manual template describes deployment context, not model weights or a runtime registry.

Required fields

The site's builder accepts ten string inputs in a JSON array. The agent name must be present and unique. Descriptive fields may be blank when unknown; use the specified unknown value for enum fields.

Input fieldRecordAllowed values / behavior
agentUnique deployment nameRequired; case-insensitive uniqueness check
ownerAccountable person or teamBlank is allowed; output gap is Record owner
purposeTask and intended useFree text; blank is flagged
platformRuntime or hosting platformFree text; blank is flagged
environmentDeployment stagedevelopment, test, production, unknown
toolsTools and integrations the agent can callFree text; blank is flagged
data_classData categorypublic, internal, confidential, restricted, unknown
permissionsGranted scope and permitted operationsFree text; blank is flagged
autonomyAllowed action levelread, draft, write, approve, unknown
review_dateLast review dateYYYY-MM-DD; blank schedules a first-review gap

The CSV adds review_age_days, triage, gaps, and as_of. There is no dedicated model ID, version, evidence link, review cadence, risk-register ID, or credential-reference column. Maintain those in a controlled system as appropriate; do not imply that the builder records fields it does not accept.

Tool and credential fields

List callable services in tools and describe scopes or operations in permissions, such as “Invoice API; Supplier lookup” and “Invoice write; Supplier read.” The schema has no separate credential field. Never paste a password, token, key or secret into the JSON or CSV. Keep secrets in an approved secrets manager and maintain any safe reference in your organization's controlled documentation without exposing secret values.

Inventory capability and permission separately: a tool name says what may be connected; the permission description says what the identity can do. Ask the platform owner to verify both against current configuration. The builder does not inspect endpoints or prove that the written scope matches the live grant.

Download

Load the builder's synthetic JSON example or read a local JSON file, run the review, and download the CSV. The CSV can be imported into Excel or Google Sheets by the user; the website does not generate an .xlsx workbook or create/connect to a Google Sheet. Browser print/save-to-PDF creates a separate printable summary through the browser. The tool is manual and does not discover agents or populate a live registry.

Example

Illustrative synthetic record and output for an as-of date of 2026-10-06:

agentownerpurposeplatformenvironmenttoolsdata_classpermissionsautonomyreview_datereview_age_daystriagegapsas_of
Invoice posting agentDemo finance operationsPost invoices after validationExample local runtimeproductionInvoice API; Supplier lookuprestrictedInvoice write; Supplier readwrite2026-06-01127high-priority reviewReview is at least 90 days old; check your policy2026-10-06

The labels and data are fictional. Under the published rule, restricted data triggers high-priority review; a review date at least 90 days old adds the displayed follow-up. This routing output is not a risk score, an approval, or a compliance conclusion.

Maintenance routine

Ask the owner and platform operator to confirm purpose, tools, permissions, data class and environment when a deployment changes. Update review_date after review and retain prior exports and decision evidence in your approved records system. The builder does not maintain history or set a mandatory cadence. NIST AI RMF offers voluntary context-documentation guidance; this page makes no ISO/IEC 42001 clause mapping. EU AI Act Article 49 registration, where applicable, is a separate legal process: a CSV is not an EU database entry.

References: NIST AI RMF Map Playbook; NIST AI RMF status and voluntary-use overview; ISO/IEC 42001 public overview; EUR-Lex consolidated AI Act.

Continue with the AI agent inventory builder, the AI inventory template, or the shadow AI discovery guide.

Ownership, catalog and review fields

An AI agent registry template can use a stable record ID, owner, environment, version or deployment reference, tools, data classes, permissions, autonomy and review date. An AI agent catalog template can add a user-facing name, permitted audience and lifecycle status. An AI agent ownership matrix helps assign a business owner, technical maintainer and reviewer without treating a role as approval.

For an AI agent inventory for compliance, attach the policy or evidence reference supporting a field and record unknowns. A list of AI agents running in my company cannot be generated by this spreadsheet; owners must reconcile authorized source systems. It cannot answer how many AI agents do I have unless the organization defines a record unit and validates its sources.

Spreadsheet workflow and sensitive references

An AI agent inventory Excel workbook or AI agent inventory Google Sheet can use one row per deployment and separate tabs for approved values, change history and follow-up. The browser builder exports CSV for teams to import; it does not create a Google Sheet or Excel file. Keep AI agent inventory fields consistent, while allowing a documented unknown state.

AI agent inventory best practices include naming an owner, recording source and as-of date, separating facts from estimates and revisiting entries after material changes. A sample AI agent inventory example should use synthetic records and label them illustrative. For AI agent owner assignment, name the accountable person or role and a backup; the field does not prove the person accepted. These practices can support an AI agent inventory SOC 2 discussion, but do not establish control design or effectiveness.

Credential and service identity boundaries

A service account inventory template may link a deployment to a non-human identity, owner, permitted scopes and secret-manager reference. An API key inventory template should record key owner, purpose, environment, rotation status and protected vault reference—not the key value. An agent credential inventory is an accountability pointer; never paste a token, password or private key into a spreadsheet. Updated 2026-10-08. Sources are linked on this page.

When a team needs an AI agent register template, keep one stable identifier across the inventory, change record and evidence references. For an AI agent inventory for audit preparation, show which source supports each field and which questions still need an owner response. The AI agent metadata fields should identify purpose, environment, version, tools, data, permissions, autonomy, owner and last-confirmed date. What to include in an AI agent inventory depends on scope; document exclusions and unknowns rather than treating blank cells as proof of absence.

Primary sources and review

Published by Agent Inventory Tool. Updated . Sources are linked on this page. Outputs do not certify compliance.