An AI strategy should not begin with a shopping list of tools. It begins with which opportunities are worth pursuing, in what order, and what has to be true for each one to create value.
Not everything worth doing is worth doing first. We sequence by value, readiness, and how much organizational change each option requires.
For each opportunity we define what AI owns, what people own, what is shared, and where a human approval is required before anything proceeds.
Technology rarely fails on capability. It fails on adoption. The plan accounts for training, communication, and the pace your organization can absorb.
Time, quality, capacity, cost. Every assumption is labeled and editable, and we tell you which numbers are known and which are estimated.