AI Foundations
Low-risk AI use cases
Start with tasks where AI can help without exposing sensitive data or making final decisions.
4 min readFoundations
Workplace example
Good first use
Summarising a public article for meeting notes is usually low risk. Drafting an unreleased merger announcement is not.
What this means
- •A low-risk AI use case does not involve confidential information, high-impact decisions, sensitive personal data, or final authority.
- •Good early uses include brainstorming, summarising public information, drafting notes, organising ideas, or improving wording for human review.
- •Higher-risk tasks can still use AI, but they need stronger controls, approved tools, and human review.
Why it matters
- •Starting with low-risk tasks helps people learn without creating avoidable data, quality, or compliance risk.
- •It builds confidence while keeping the review burden manageable.
- •It helps teams separate productivity gains from unsafe automation.
Common mistakes
- •Using public tools with disguised but still sensitive work information.
- •Letting AI influence final recommendations before the facts are stable.
- •Assuming internal tasks are automatically low-risk.
What good judgement looks like
- •Choose tasks with public or non-sensitive information.
- •Keep human review before sharing or acting.
- •Avoid tasks involving jobs, pay, compliance, customer harm, or confidential strategy unless approved controls are in place.
Try this at work
- •List five tasks you do often.
- •Label each as low risk, review required, high risk, or avoid.
- •Pick one low-risk task and define how you will review the output.
How this helps your reassessment
- •You can identify suitable first uses for AI support.
- •You can explain why some tasks need stronger controls.
- •You do not use tool convenience as the main risk test.