Trust is central to the AI conversation, because businesses need to understand what the technology can do, how it fits into their work and where responsibility remains with people. When those questions are unclear, some may hesitate to use it while others move ahead without fully understanding the implications, making clear guidance an important part of turning interest into responsible action.
For a business considering implementation, the practical questions often arrive together: what information can be used, how a team should approach compliance and how the organisation explains what it is doing. These considerations influence whether an idea can become something usable, so they need to be understood alongside the commercial opportunity rather than treated as separate concerns.
My perspective comes from working in property technology, where information and trust shape the relationship with the people using a product. Any discussion about AI therefore needs to include how information is handled and the role of the human team, alongside what the technology itself might make possible.
Our approach is AI with a human eye overlay, reflecting my view that the technology can support tasks and contribute to ideas while still getting things wrong. Human review remains part of using it responsibly, helping us examine an output rather than assume that a confident presentation makes it dependable.
There is also value in the way people develop ideas together, bringing different perspectives which can challenge an assumption or reveal something that needs closer attention. AI may be useful within that work, but human contribution and judgement should remain visible in how we understand its value and decide where it belongs.
The support a business needs can extend well beyond guidance, with training, access to technology and finance becoming connected questions as an idea develops. A founder may be exploring an application while also considering the capability needed to use it and how to resource the next stage, which can make separate pieces of support difficult to navigate as a whole.
That is why the connections between support matter. Information about a programme may be helpful without making clear how it relates to another need, while a business seeking advice on responsible use may also need to understand the skills or technical resources involved. The challenge is to find a route through those questions which helps someone see what to do next.
My priority is clearer practical guidance and more connected support, with the needs of businesses informing how that support fits together. The aim should be to make the next step easier to understand, rather than begin with a detailed institutional model before the practical requirements are clear.
The same care is needed when considering what AI could do in property, where identifying an opportunity to improve a process is different from demonstrating that the process has already been improved. Exploring an application should help us understand where it could be useful while retaining the judgement needed to recognise its limitations and what they mean for users.
For Wales, there is an opportunity to connect the economic promise of AI with the conditions businesses need to use it responsibly. Guidance, skills and resources become more useful when they help founders understand a coherent route forward, rather than leave them with several starting points and the task of working out how they relate.
My argument is about trust and the ability to act on it, with clear information helping businesses engage, human review keeping applications grounded in their purpose and connected support making the next step easier to understand. Bringing those elements together could help more businesses in Wales explore AI with a clearer sense of both its potential and their responsibilities.
