Responsible AI automation: a practical checklist

AI agents, chat assistants and workflow automation can save businesses significant time. They can also damage customer trust quickly if they are deployed carelessly. This checklist covers the questions we work through before any automation goes live.

1. Is automation the right tool?

• Is the task frequent, repetitive and rules-based enough to justify automation?
• Would a simple rule or form solve it without AI?
• What happens when the automation is wrong, and who notices?

AI is powerful, but simpler solutions are often cheaper, more predictable and easier to maintain.

2. Do people know they’re dealing with automation?

• Voice and chat assistants should identify themselves as automated.
• Customers should be able to reach a person easily, without having to argue with a bot.
• Automated messages should be recognisable as coming from your business.

3. Do you have permission?

• Messaging (WhatsApp, SMS, email) should go only to people who have opted in, with an easy way to opt out.
• Calls should respect consent, recording-notice and telemarketing rules in every region you operate in.
• Social media automation should use official platform APIs and respect platform policies. That rules out fake accounts, bot comments and purchased engagement.

4. What data does it touch?

• Collect only the data the task needs.
• Know where the data goes, including every third-party AI or messaging provider involved.
• Check whether a provider retains or trains on your data, and configure it accordingly.
• Set retention limits and delete what you no longer need.

5. Where are the guardrails?

• Limit what the automation can do: read-only where possible, with approval steps for consequential actions.
• Validate inputs and outputs, especially before writing to systems of record.
• Route uncertain or unusual cases to a person instead of guessing.

6. How will you know it works?

• Build a test set of realistic cases, including awkward edge cases, and measure accuracy before launch.
• Monitor after launch: error rates, escalation rates and customer feedback.
• Review samples of conversations or decisions regularly.

7. Who owns it?

• Name an owner who is responsible for the automation’s behaviour.
• Document how it works, what it depends on and how to switch it off.
• Plan for change: models, APIs and platform policies all evolve.

The goal

Good automation is invisible in the best way: faster answers, fewer errors and people freed for work that needs judgement. Responsible design is what makes that sustainable.

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This article is general guidance and not legal advice. Consent, privacy and telemarketing requirements vary by country; check the rules that apply to your business.