The question is not whether your AI can answer. It is whether anyone would trust it with Tuesday's work.
Business-ready AI is an awkwardly practical idea. Start with a job that matters: an enquiry to resolve, a handover to complete, a report to assemble, a decision to prepare. Give it an owner and a measure. Then ask what the AI needs to know and what it is allowed to do.
That sounds less exciting than announcing an enterprise agent strategy. It is also how you discover that the important information lives in three systems, two people's heads and a spreadsheet named final-final. A good model cannot fix an organisation that has not decided how work should move.
Folio brings context, workflows and review into the same working environment. Veriteer helps teams choose the work, set the boundaries and change the process around it. The people who own the outcome remain visible. So do the points where they should approve, correct or stop the work.
The first use case should prove something beyond whether AI can produce an answer. Did the task get done better? How much time did it take? Was the result good enough? Did the team know when to intervene? Could another function use the same pattern without starting again?
That is how a business gains an AI capability. One useful job, governed well, followed by another. Less launch theatre. More Tuesday.