What makes an AI application story convincing?

A convincing AI application story connects the technology to a recognisable problem, explains its contribution and shows the difference it made. Specific applications, a clear account of the technology's role and testimony from the people involved make the story more concrete than a list of capabilities.

Connect technical capabilities to human outcomes

G42's storytelling connected technology enablers with specific applications and human outcomes, rather than presenting capabilities in isolation. Its web-based experience used an "impact algorithm" to map energy, compute, cloud and foundational models to real-world outcomes. Industry contexts and solutions across G42's businesses gave audiences a route from technical infrastructure to practical impact.

The narrative also included commitments such as responsible AI, sustainability and equitable AI, anchoring the experience in G42's purpose. Messaging across all ten group companies was harmonised into a unified voice. The useful practice is to explain the relationship between a capability, its application and the people it affects, while making organisational commitments explicit.

A 2026 study by INFUSE found that 35% of enterprise technology buyers across 18 countries and 15 industries selected an AI supplier for solving a problem existing tools could not, while 29% cited measurable ROI demonstrated during evaluation.

Sources: G42: Telling the story of intelligence, Putting AI first: how the UAE is transforming conversations, brands and societies

Show the contribution within a real customer response

The IBM and Wimbledon campaign made technical capabilities concrete by explaining the response they enabled when Wimbledon could not go ahead in 2020. The Wimbledon team drew on IBM's AI, analytics and cloud capabilities to create fully digital championships in eight weeks, delivering two weeks of remastered classic matches as The Greatest Championships.

An integrated campaign told the partnership story through a documentary and five short-form videos focused on different aspects of its commitment to innovation. Interviews with AELTC and IBM team members, alongside archive footage, brought the people behind the response into the account. The useful practice is to explain the customer's situation, identify the technology's contribution and let participants describe the work, rather than treating AI as the whole story.

A 2026 study by INFUSE found that 32% of enterprise technology buyers across 18 countries and 15 industries prioritised measurable outcomes from current clients when evaluating AI solutions, and 23% prioritised transparency about capabilities and limitations.

Sources: How we navigated lockdown to deliver a suite of video content for Wimbledon and IBM

How The Frameworks helps

Telling credible AI application stories

Your audiences need to judge whether your AI application claims are credible and relevant to their organisation. The Frameworks works with you to shape the account around what your use cases, achievements and working technology can substantiate. It pays particular attention to the relationship between technical capability and the claims made about it, including commitments to responsible practice where these are part of your proposition. Stakeholder research informs how those claims are explained to the people you need to reach.

The Frameworks delivers application narratives, videos and interactive demonstrations that give your audiences evidence they can examine or experience. Copy and presentation bring technical explanations and supporting evidence together, so the story remains consistent across those formats. You get a clear, substantiated account of your AI offering that prospects and partners can use to assess its relevance and discuss its capabilities with your team.

Let’s talk about your AI application story 

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