What should guide our AI marketing decisions?

AI investment should start with an audience need and a clear brand purpose, not with a tool's capabilities. Understanding customers, communicating with purpose and building a strong brand remain the foundations of useful marketing. Ask whether a proposed application will make an experience more meaningful or relevant, and whether it reflects the brand's purpose and consistent behaviour. Speed and efficiency are useful, but neither should define the ambition.

A 2025 survey by Content Marketing Institute and MarketingProfs, covering B2B marketers mostly in North America, found that among AI users creating content, 87% reported improved productivity, compared with 58% reporting improved content quality and 39% improved content performance. The practical priority is to use AI to strengthen customer connections and support a recognisable, trusted brand, rather than simply increase production.

A focused AI experiment gives a team something concrete to design, prototype and test. Identify one or two things the brand could do particularly well, then build an experience around them. Pair hands-on knowledge of AI tools with professional expertise: access to generative AI alone does not produce quality work.

For UST, NavigatorAI progressed from a functional prototype developed in two weeks to a refined, tested and launched experience within six weeks. The application guides prospects through tailored questions and generates personalised recommendations informed by UST's AI playbook and expertise. Human creativity remained central to prompt design and optimisation, supporting content, animations and campaign assets.

Gartner's 2025 analysis of generative-AI creative systems notes that substantial initial setup and ongoing oversight are required, while computational expenditure can offset traditional production savings. Define the intended audience benefit and what the team will measure before expanding an application.