Which AI experiences are worth building for our customers?

Start with one or two things your business can do particularly well, then connect those strengths to a customer need and your brand's purpose. The Frameworks argues that audience understanding, purposeful communication and a strong brand remain the fundamentals, regardless of how quickly AI changes. The opportunity is to make customer experiences more meaningful and relevant, not simply to produce more content or work faster.

The Frameworks also treats AI as a collaborator: access to generative tools is not enough without professional expertise and hands-on experience. A useful starting question is what your business could help customers do better, rather than which AI capability to showcase. In its 2026 observations of UK financial services firms, the Financial Conduct Authority identified good practice in defining the consumer problem, target market and intended outcome before choosing AI, then testing outcomes across different capabilities, vulnerabilities and usage scenarios.

Choose a discrete interaction that uses customer inputs to produce a response attuned to both the customer's need and the business's goal. The Frameworks calls that approach Small AI: focused brand and marketing tools that use generative AI to summarise information and craft personalised responses, without requiring a sweeping view of the business's future.

The Frameworks describes building working prototypes in weeks, using research, experimentation and learning by doing to develop experiences its team can prompt, design and measure. The aim is not an AI demonstration bolted onto a campaign, but a personalised, interactive experience built for real use. For a buyer deciding where to invest, the useful distinction is between AI as the subject and AI as the method: prioritise an interaction that makes something newly possible or practical for customers.