Chargeback is only as credible as the labels beneath it. Spend without a department, product, or budget code sits outside the unified technology P&L and outside anyone’s accountability. AI raises the stakes further as boards want to know what an AI investment returns, and answering that requires cost and revenue in the same frame.

Ternary’s MCP server now answers both questions in plain language, from the AI assistant your team already uses. ERPs are technology-blind and FinOps tools are Engineering-owned. These two new tools extend Ternary’s judgment infrastructure, built for Finance, into every conversation about technology investment:

• Label coverage: See how much spend any Custom Label covers over a period, with each provider ranked by the size of its gap.
• Unallocated spend, located: Pinpoint the 20 largest account and service pairs carrying unlabeled spend, so remediation starts where the dollars are.
• Label hygiene: Surface likely misspellings, placeholder values such as “unknown,” values outside your approved list, and spend missing a required companion label.
• AI ROI: Weigh AI cost against revenue for the whole tenant, or by product, team, or any Custom Label.

Every figure is period-close compatible. Unallocated spend is defined exactly as a “not set” filter in the Reporting Engine, so the numbers reconcile to your reports. AI cost comes from Ternary’s own classification of each billing row, not from service names or tags. When revenue is missing for the period, Ternary reports AI cost alone and names the gap rather than estimating a ratio. That is finance-grade attribution, held to the same rigor as every other line of the P&L.

Connect the Ternary MCP server to your AI assistant and ask, for example: “How much of last quarter’s spend has no department label?” or “Show AI cost against revenue by product.”