Free tool · ISO/IEC 42001

AI Objectives & KPI Planner for ISO/IEC 42001

The short answer: an ISO/IEC 42001 AI objective needs a measure, an owner, the resources to deliver it, a timeline and a way of evaluating results (clause 6.2). Write each objective here, link the KPIs that measure it, and the plan table shows progress and status for all of them, with a checklist of what each objective is still missing.

Free, in your browser, nothing uploaded. Need KPIs? Pick from the AI Security Metrics Set, mapped to ISO/IEC 27090 threat themes.

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Organisation

You are looking at a sample plan for a fictional insurer. Edit it, or start empty to write your own.

Objectives

Fully planned

5 of 5

measurable, owner, resources, timeline, evaluation

KPIs linked

5 from the metrics set

Needs attention

at risk or off track

Plan

Owner	Due	KPIs	Progress	Status
Head of AI Security	2027-03-31	1	54%	On trackauto
Claims Assistant Product Owner	2027-06-30	2	62%	On trackauto
Third-Party Risk Manager	2027-02-28	2	21%	On trackauto
Responsible AI Lead	2027-01-31	1	50%	On trackauto
Head of People Development	2027-03-31	1	13%	On trackauto

Auto status compares KPI progress (baseline to target) with how much of the timeline has passed: within 10 points is on track, within 25 is at risk, beyond that off track. Set a status by hand on any objective to override it.

Measurable (KPIs with targets)Owner namedResources statedTimeline (start and due date)Evaluation methodLinked to AI policy or a risk (optional)Communicated to (optional)

Tip: pick metrics on the AI Security Metrics Set dashboard and they appear first in the KPI picker here.

TL;DR

What this planner does

4 points

ISO/IEC 42001 clause 6.2 expects AI objectives that are measurable, owned, resourced, time-bound and evaluated. This planner records each of those for every objective and flags what is missing.
Link each objective to KPIs with a baseline, target and current value, including any of the 20 metrics in the AI Security Metrics Set or your own.
The plan table shows owner, due date, progress and status for every objective. Status can be worked out from KPI progress against the timeline, or set by hand.
Starts with a sample plan for a fictional insurer. Export to CSV or Markdown. Free, runs in your browser, nothing uploaded.

What an auditor looks for in AI objectives

In a certification audit, objectives are where the AI policy meets day-to-day work. An auditor will pick an objective and ask who owns it, how it is measured, what the current figure is, and where it was last reviewed. If the answer to any of those is "we haven't decided", that is usually a finding against planning (clause 6) or performance evaluation (clause 9).

Keep the chain short and visible: AI policy commitment, objective, KPI, data source, owner, review. Review progress in management review (clause 9.3), and when an objective slips, record why and what you will do, which may be a corrective action (clause 10.2) or a revised plan. Objectives can and should be updated when the context changes.

Frequently asked questions

What does ISO/IEC 42001 clause 6.2 require for AI objectives?

In plain terms: set AI objectives at relevant functions and levels that are consistent with your AI policy, measurable where practicable, monitored, communicated and updated. For each one, plan what will be done, the resources needed, who is responsible, when it will be completed and how results will be evaluated. Keep this as documented information.

What is a good example of an AI objective?

Good objectives name an outcome, a measure and a date. For example: "Threat-model every production AI system before the next external audit, measured by the share of AI systems with a current threat model, owned by the Head of AI Security, reviewed quarterly." Vague aims such as "improve AI safety" are not measurable, and an auditor will ask how you know whether you achieved them.

How many AI objectives should we have?

Few enough that each has a real owner and resources, typically a handful at management-system level, with team objectives beneath them. Cover the things your AI policy commits to, such as risk assessment, impact assessment, supplier control, security testing and staff awareness.

How is the status worked out?

For each KPI the planner measures progress from the baseline toward the target. The objective's progress is the average across its KPIs. That is compared with how much of the timeline has passed: within 10 percentage points is on track, within 25 is at risk, and beyond that off track. When every KPI is at target the objective is achieved. You can override the status on any objective.

Where do the KPIs come from?

You can write your own or pick from the PlayCISO AI Security Metrics Set, which maps AI security KPIs and KRIs to ISO/IEC 27090 threat themes. If you built a dashboard there, those metrics appear first in the picker here.

Is it free and where is my data stored?

It is free with no sign-up. The plan is stored only in your browser's local storage. Nothing is sent to PlayCISO. Export to CSV or Markdown to keep or share a copy.

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