Yes, a spreadsheet workbook can run an ISO 42001 AI management system while you operate a few AI systems with a small team. Automate when the inventory goes stale, impact assessments pile up, models change faster than reviews, or an auditor asks for proof you cannot assemble quickly.
What is ISO 42001?
ISO/IEC 42001 is a management system standard for artificial intelligence, published in 2023. Like ISO 27001, it asks an organisation to define scope, set policy, assess risk, apply controls, measure, audit internally and improve. Its subject is the responsible development, provision or use of AI systems. The ISO page returned a 403 on our fetch and the full text is paid, so this guide stays general. Check clause and Annex references against your licensed copy.
What would the workbook contain?
One tab per register, each with an owner, a status and a review date.
- AI system inventory. Every AI system you build, provide or use, including third party models and AI features inside SaaS tools. Record purpose, owner, model and version, data used, users affected and where it runs.
- Roles. Whether you develop, provide, deploy or simply use each system.
- Risk register. Risks to people and the business, such as unfair outcomes, errors, misuse, privacy and security failures, with owner and treatment.
- Impact assessments. One row per system with the affected groups, the harm considered, decisions and the date reviewed.
- Data register. Training and input data sources, quality checks, licensing and privacy notes.
- Supplier register. Model providers and data suppliers, the terms, last review and fallback.
- Testing and monitoring log. Evaluations run, results, thresholds, drift checks and issues found.
- Incident log. AI related incidents, harm, response and lessons.
- Controls and evidence tab. Each control chosen, the owner, evidence link and last test.
- Change log. Model upgrades, prompt or configuration changes, and approvals.
Keep policy documents beside it in a folder with version history.
Where do spreadsheets work?
When you have a handful of AI systems, one product owner and a single reviewer, a workbook is transparent and cheap, and it teaches you what your records need to say. The audit trail is the file history and linked documents. For a first pass or a gap analysis it is a fine tool.
Where do they break?
AI changes quickly, and that is the central problem.
- Inventory drift. A team turns on an AI feature in a tool or swaps a model version, and the inventory does not know.
- Stale assessments. The impact assessment describes the model from six months ago.
- Evidence without lineage. Evaluation results pasted as numbers, with no link to the run that produced them.
- Third party blindness. Providers change models and terms under you.
- Review overload. One person approves every change.
What are the signs to automate?
Consider moving when several of these hold: more than a dozen AI systems, more than one team deploying them, model or prompt changes weekly, the inventory differs from reality in a quick spot check, the same evidence has to serve other frameworks, or an auditor request takes more than a day to answer.
What to do
- Build the ten tabs and assign owners and review dates.
- Link every evidence cell to its source, not a pasted image.
- Add a rule that no AI feature ships without an inventory row.
- Track hours spent on upkeep per quarter.
- Write down the signs that trigger automation.
- Clean the data before you import it into any tool.
Quick check
What is ISO 42001?
A management system standard for AI, published in 2023, that works like other ISO management systems.
What is the biggest spreadsheet risk for AI governance?
Inventory drift, because AI features and model versions change faster than manual reviews.
How Safeguard helps automate this
Safeguard's compliance suite covers frameworks, controls, evidence, continuous monitoring, automated tests and questionnaires. That means control evidence is collected from connected systems and code rather than pasted into cells, and monitoring runs between audits so drift is caught earlier. Technical evidence about the libraries, models and dependencies in your code comes from scans, SBOMs and reachability on your real repositories. Safeguard's agent can open tested fix pull requests for vulnerable dependencies. It is off by default, every category starts on Manual, and you choose which categories run automatically and at what approval level. A certification body audits you. Safeguard helps you prepare and keep evidence ready.
Open the framework mapping demo
Sources
- ISO/IEC 42001 page on iso.org, not retrievable on 18 October 2026, so claims are kept general
Last reviewed: 18 October 2026.
