Discover
Map AI tools, models, copilots, SaaS AI features, automations, and agents across departments.
AI inventory
Free AI Inventory for Organizations
Map every AI tool, model, copilot, and agent in your organization. Assign owners, track risks, manage tasks, and keep a live AI inventory with Contro1.
Contro1 gives organizations a free AI inventory that becomes operational: discover what AI exists, assign owners, track risks, and turn scattered AI usage into visible, accountable work.
Run the free AI inventory scan
Create a free account to copy the scanner prompt into your code agent or internal reviewer. It will map AI tools, models, copilots, SaaS AI features, workflow automations, and agents into an owner-ready inventory.
Key takeaways
- An AI inventory is a live record of the AI tools, models, copilots, SaaS AI features, automations, and agents used across the business.
- The strongest first message is visibility first and compliance second: leaders need to know what AI exists before they can govern it.
- A useful AI inventory connects every system to an owner, department, purpose, data access, risk level, status, and open actions.
- Contro1 turns inventory into action with owners, tasks, statuses, evidence export, disclosure logging, scan history, and repeatable follow-through.
What is an AI inventory?
An AI inventory is a live record of the AI systems your organization uses, including chatbots, copilots, AI features inside SaaS tools, custom models, workflow automations, and AI agents. It shows what exists, who owns it, what it does, what data it touches, and what still needs review.
For Contro1, an AI inventory is not a retail inventory system and not a static spreadsheet. It is the operating view that helps teams discover AI usage, assign ownership, track risk, and move from visibility to action.
Why organizations need an AI inventory now
AI adoption is happening faster than most companies can track. Teams launch copilots, vendors turn on AI features by default, and departments build agents without a central record. Without an AI inventory, leaders cannot answer basic questions: What AI do we use? Who owns it? Which systems are customer-facing? Which ones need review? What still has no approval, no disclosure, or no audit trail?
The business problem is no longer whether people are using AI. The problem is where AI is being used, who is accountable, what data is exposed, which workflows can take action, and which findings still need follow-up.
- Shadow AI: AI tools and agents appear outside the official roadmap.
- AI sprawl: SaaS features, copilots, custom scripts, and agents multiply across teams.
- Ownership gaps: nobody can name the business owner for a system or workflow.
- Data exposure: teams may not know what customer, employee, or operational data AI systems touch.
- Duplicate work: departments solve the same AI review problem in disconnected spreadsheets.
What a good AI inventory should include
Every entry should connect AI usage to business reality. The goal is not to create another spreadsheet. The goal is to create a system your teams can actually use to manage AI.
| Field | Why it matters |
|---|---|
| Owner and department | Every AI system needs a person or role responsible for review, updates, and follow-through. |
| Business purpose | The inventory should explain what the AI system does in plain language. |
| Tool, model, copilot, or agent | Separate SaaS AI features, custom models, copilots, workflow automations, and agents. |
| Data access | Track whether the system touches customer data, employee data, financial data, source code, or production systems. |
| Integrations and actions | List connected systems and whether the AI can read, write, publish, send, update, or trigger workflows. |
| Risk level and status | Show what is approved, needs review, blocked, monitored, or ready for evidence export. |
| Open tasks and evidence | Turn findings into owner-assigned tasks, comments, disclosure logs, scan history, and evidence packets. |
How Contro1 helps
Contro1 helps you build a live AI inventory, assign tasks to the right people, track progress, and keep evidence in one place. Instead of static documentation, you get a working system for AI visibility, ownership, and follow-through.
Start with discovery, upload or import what you already know, assign owners, review open gaps, and keep improving the inventory as teams add new AI tools and agents.
Assign
Connect each AI use case to an owner, department, purpose, risk level, and review status.
Track
Manage open tasks, disclosure gaps, approval gaps, evidence status, and repeated scan history.
Improve
Use the inventory to drive governance work, not just document it. Export evidence and rerun reviews as AI usage changes.
How to add approvals to AI agents · Open the AI Registry · Run the AI Act gap scanner
AI inventory helps with governance and regulatory readiness
A strong AI inventory helps with governance, security, internal accountability, and regulatory readiness. If your organization needs to prepare for frameworks like the EU AI Act or NIST AI RMF, inventory is where the work starts.
Contro1 does not claim that an inventory alone makes an organization compliant. It gives teams a practical starting point: visibility, ownership, evidence, and the operational work needed to close gaps.
Start with one useful inventory this week
A useful first inventory does not need to cover every possible AI system on day one. Start with one department, one business process, or one set of AI agents. Capture the owner, purpose, data access, action boundary, risk level, and open tasks. Then repeat.
- Pick one department with active AI usage.
- List every AI tool, copilot, automation, model, and agent they use.
- Assign an owner to each entry.
- Mark whether it touches customer, employee, financial, source code, or production data.
- Create tasks for anything missing an owner, disclosure, approval rule, or evidence trail.
Know what AI exists in your organization
Start your free AI inventory with Contro1 and turn scattered AI use into something visible, manageable, and accountable.
How to add approvals to AI agents · Open the AI Registry · See the AI Act readiness workflow
Frequently asked questions
What is an AI inventory?
An AI inventory is a live record of the AI tools, models, copilots, SaaS AI features, automations, and agents used by an organization. It tracks what exists, who owns it, what it does, what data it touches, and what still needs review.
Why do organizations need an AI inventory?
Organizations need an AI inventory because AI adoption often spreads faster than central governance. An inventory gives leaders visibility into ownership, risk, data access, customer-facing use, and open follow-up work.
What should an AI inventory include?
A good AI inventory should include owner, department, business purpose, tool or model, data access, integrations, action permissions, risk level, review status, open tasks, and evidence history.
What is the difference between an AI inventory and an AI registry?
An AI inventory is the working list of AI usage across the organization. An AI registry is usually the governed system of record that tracks approved entries, owners, risk, status, and evidence over time.
Does an AI inventory help with AI governance and compliance?
Yes. Inventory is the starting point for AI governance and regulatory readiness because teams cannot assign ownership, disclosures, approvals, or evidence to systems they have not identified.
How can I build an AI inventory for free?
You can start by listing active AI tools and agents, assigning owners, marking data access and risk, and tracking open review tasks. Contro1 gives teams a free way to turn that list into a live inventory with owners, statuses, and evidence.
How do I track AI agents across departments?
Track AI agents by department, owner, workflow, connected tools, allowed actions, data access, approval requirements, and audit evidence. The important part is connecting each agent to accountable ownership and follow-up tasks.
How often should an AI inventory be updated?
Update the inventory whenever a team adds a new AI tool, changes data access, connects a new integration, changes an agent action, or closes a review task. For active programs, review it at least monthly.