Tasks and evidence

Tasks and evidence for ISO 42001 and ISO 27001

Who does what, and has it been done? From a recurring access review to an AI impact assessment: assign the work to the right control and owner, record what the evidence must show and let AI pre-check it before a colleague reviews it.

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In brief

Task
Linked to a controlWith the expected result
Ownership
Assignee and reviewerWith a deadline and recurrence
Evidence
Requirements up frontWhat it must demonstrate
Review
AI pre-check, then a personThe reviewer decides

01 / Tasks and ownership

Who does what,
and has it been done?

Basenorm links every task to a control and an owner. You see what is open, who is working on it and what has been completed.

Four steps
  1. 01Define the work

    Describe the task, the related control and the expected result. Add requirements for the evidence.

  2. 02Assign an assignee and reviewer

    Make clear who submits and who reviews. Set a deadline and recurrence where needed.

  3. 03Let people and integrations contribute

    Employees carry out tasks. Connected systems and agents can also contribute through the API and MCP.

  4. 04Record results and follow-up

    Attach evidence, review the result and record what still needs to happen.

02 / Interactive example

From task
to reviewed evidence

Try the flow for an access review: set the requirements, complete the task, ask AI for help, let AI pre-check the evidence and send it for peer review.

Review access rightsInteractive example

Example / access rights

Make expectations clear

Record what the evidence needs to demonstrate. Your colleague and the AI pre-check use the same requirements.

  • 01
    Systems and accounts

    Which systems and accounts were reviewed?

  • 02
    Review and findings

    How was the review performed and what exceptions were found?

  • 03
    Follow-up

    What was done about the exceptions?

Example data · AI responses are predefined

More about AskNorman Requirements → task → AI help → pre-check → review

03 / Evidence and review

Good evidence starts
with a clear request

Define what the evidence needs to demonstrate. AI helps your colleague get started and checks what may be missing. A second person reviews the result.

Before, during and after
  1. BeforeRequirements first

    The recorded requirements give the person doing the task and the AI check the same context.

  2. DuringHelp when you need it

    An employee can ask AI for guidance and then submit the evidence.

  3. AfterA substantive review

    An AI check is an initial assessment. The reviewer evaluates the evidence and decides what happens next.

04 / Questions

Questions about
tasks and evidence

How do tasks relate to controls?

Every task is linked to a control, with an owner, a reviewer, a deadline and, where needed, a recurrence. The evidence is linked to the control and counts wherever that control counts.

What does the AI pre-check do?

It compares the submitted evidence with the requirements you recorded for the task and highlights what may be missing. It is an initial check: a colleague reviews the content and decides.

Can integrations and agents complete tasks?

Yes, within the permissions you grant. Connected systems and agents can deliver results through the API and MCP. The configured review still applies.

Who decides whether evidence is sufficient?

Your reviewer decides within your organisation. In a certification audit, the auditor assesses whether controls and evidence meet the standard.

Book a demo

See how your team works on tasks and evidence

Together we look at your controls, owners and the evidence you collect today.

In the demo we look at
  • How tasks link to your controls and owners.
  • How the AI pre-check compares evidence with your requirements.
  • How review and follow-up are recorded.
ISO 42001 + ISO 27001

Hosted in the Netherlands. Your data stays in the EU.

Your starting point

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can do for you

Choose what you want to discuss. We are happy to help you make your next step concrete.

In your demo we look at
  • Which existing processes you can reuse.
  • What you need to add for your AI systems.
  • How you manage controls and evidence together.

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