AI spend and replacement analysis

AI tools are being added on top of existing spend without removing what they replace. A team buys an AI writing assistant while the license it duplicates keeps renewing, and the same pattern repeats across the portfolio.

Leadership asks a reasonable question: what can AI actually replace, and what is the return. That question cannot be answered without knowing what the current stack does, because a replacement decision requires a comparison, and there is no comparison without an inventory of the existing capability.

We map AI spend alongside the existing portfolio, so the two sit in one view instead of on separate budgets. We identify where AI tools duplicate a capability you already own, and where an existing tool is a candidate for replacement by an AI tool or an internal build.

The result is one view for finance and IT of what is stacking on top of current spend versus what is substituting for it, which is the distinction the return question depends on. The first view is available in about two weeks.

What AI can replace depends entirely on what you already own, and that stack is specific to your company, so we run the comparison against your portfolio rather than a generic list of categories. We separate the AI spend that duplicates existing capability from the existing tools that are genuine replacement candidates. You get a single view that finance and IT can act on, with the overlap that should come out marked plainly.