Creating personalised AI experiences

AI experiences can respond to each customer’s needs, but relevance takes more than a fluent answer. Teams need to decide what the interaction should achieve, how it should express the brand and where people should remain involved.

Which customer interactions should we build AI experiences around?

Build AI experiences around a focused audience need that your expertise can address distinctively and that AI makes possible or practical to serve.

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What makes AI personalisation useful to our audience?

AI personalisation is useful when it adapts to what someone is trying to achieve and uses their inputs to provide relevant help, not merely personalised wording.

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What should our brand guidelines cover for AI experiences?

Brand guidelines should define how AI acts and makes decisions, translating brand values into explicit behaviours before development begins.

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What keeps personalised AI responses grounded in our expertise?

Personalised AI responses stay grounded when generative flexibility is combined with trusted source material, structured rules, proprietary expertise and human oversight.

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When should our AI experience hand over to people?

Your AI experience should hand over to people when an interaction's emotional stakes or need for judgement calls for human help.

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Which accessibility needs could our AI website adapt to?

An adaptive AI website could accommodate motor, reading and cognitive needs by changing controls, navigation and explanations to suit individual visitors.

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