Overview: Many large organisations have begun their Artificial Intelligence (AI) journeys, but some have taken unusual directions, while others are adopting a wait-and-see approach. As a general rule, I believe most organisations should attempt to identify the most important use cases for AI and, using a basic scoring system, prioritise the easy, high-value use cases first.
A good option is to hire an AI-focused team to implement the AI program within your business. Hire people from the company, as they possess key domain knowledge, and pair them with IT experts, preferably those with strong AI skills.
Tip: All Digital Transformation Projects must cover People, Process and Technology in that order of importance.
Thought: The two biggest mistakes I have observed as of July 2025 in clients are a lack of clearly defined benefits of AI projects and poor-quality, insecure data.
1. AI Idea Generation: Collate a detailed list of possible ideas. I like to use SharePoint, it's a good idea to open ideas up to the business or make gamification of idea generation to get a good set of ideas. You'll get lots of overlap, distil it into unique ideas, and bring the team/stakeholders together.
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Figure 1. AI idea filter funnel |
3. Technological Feasibility: Can technology meet the requirement, and at what cost? A high-level technical design is strongly recommended, as illustrated in Figure 2 below.
4. Implement: If the idea holds up to Business impact, and is possible, select the highest value to lowest effort ideas. It is a good idea to start with the simpler ideas to get the ball rolling.