This is one of the most consistent patterns I observe when working with companies across industries and company sizes. The moment I walk into the first meeting, I can already evaluate the likelihood of an AI project succeeding. Not from the tech stack, not from the budget, and not from the sophistication of the use case. From the room.
In a recent client engagement, I sat down with a service company exploring AI operationalization across regulated processes. Before a single slide was presented, I already felt optimistic because of who was sitting at the table.
HR, IT, Commercial, and the CFO were all there. Four functions. One room. Day one.
That combination of meeting participants tells me everything I need to know about how a company is approaching its AI strategy.
When companies treat AI as an IT initiative, they set themselves up for a predictable failure pattern. A small team of talented data scientists and IT professionals builds something impressive. The pilot works, and the demo generates excitement. And then – nothing happens.
According to a Boston Consulting Group study, only 5% of companies are achieving AI value at scale, while 60% report minimal or no material value despite significant investment (Boston Consulting Group, 2025). The technology is not the bottleneck, but the organization is.
Room composition matters because each function owns a critical piece of the AI transformation puzzle – and none of them can substitute for the other.
HR is responsible for managing workflow changes. AI fundamentally alters how work gets done, and without HR present from day one, the human side of implementation is an afterthought rather than a design principle.
IT owns the data stack. AI touches data infrastructure in ways that require IT’s involvement, but IT cannot be solely responsible for the pilot.
Commercial manages revenue that may be tied to AI. Without a commercial lens, initiatives risk becoming technically impressive but commercially irrelevant.
The CFO controls the budget and requires ROI evidence. Without financial accountability built in from the start, AI initiatives struggle to survive beyond the pilot stage.
When all four are present on day one, a project has a fighting chance. When they are not, the pilot happens, the demo goes great – and then it dies because nobody with authority was in the room when the decision had to be made.
I’ve even seen a six-figure budget evaporate for exactly this reason.
If your company is preparing to move toward deploying AI, the most valuable thing you can do in the next 30 days is map your first AI initiative across four lenses::
- HR Impact: How will this change how work gets done?
- IT Dependency: What does this require from the data stack?
- Commercial Value: How does this tie to revenue?
- Financial Accountability: What is the budget, and what does ROI look like?
Once you have mapped the initiative across these four dimensions, name one senior leader from each category. Put them in the same room. Give them one shared goal. Have them meet weekly.
The results are consistent across companies worldwide: faster identification of constraints, better trade-offs, and significantly faster progress than a siloed team could ever achieve.
Structure beats strategy every time. It is not the sophistication of the AI model or the ambition of the roadmap that determines success. It is whether the right people, with the right authority, are aligned around a shared goal from the very beginning.
The composition of the room on day one is not a soft organizational consideration. It is the single most reliable predictor of whether an AI initiative will scale – or quietly fade after a promising demo.