The CFO view of AI: spend, usage, impact, resilience

As CFO, you're approving AI budgets without clear evidence of return. Fronterio changes that from the prove stage of the loop by connecting four data streams: what you spend on AI licences, how much they're actually used, what business impact they deliver, and how resilient your vendor mix is if any one platform fails or changes terms.

The AI Tool Adoption Tracker shows real usage data across Microsoft Copilot, Google Gemini, and Anthropic Claude: licences active vs idle, usage intensity by department, cost per active user. Fronterio rolls this into an estate-wide spend-and-waste view that puts a euro figure on the idle licences you can reclaim, so you rebalance spend instead of just approving it.

The Business Impact Metrics module tracks before-and-after data tied to specific AI deployments. Hours saved per process, cost reductions, revenue influenced, entered by teams and visualised with event markers showing when each tool went live. Proof, not anecdote.

The AI Vendor Resilience scorecard (Enterprise) reads across the connected estate: how much of your AI spend sits with a single vendor, and what happens if terms, pricing, or availability change. Fronterio scores your mix across four workload layers, runs failover drills, and recommends which workloads to diversify. It reads and evidences the estate; it never runs your workloads. Board-level risk oversight, quantified.

And Fronterio delivers what used to be a consulting engagement (Strategy Canvas, 12-month Roadmap, OKR Cascade, monthly Adoption Report, quarterly Board Pack) as living deliverables with calendars and owners, for the price of a subscription. Each refreshes automatically as data changes. Your board reporting is composed from live metrics, not rebuilt slide by slide.