Glossary entry
The discipline of managing AI cost, usage, risk, adoption, quality, and realised business value across the full enterprise portfolio.
Why it matters
AI Value Management matters because AI spend can scale across SaaS, cloud, data, labour, and agentic workflows before organisations can prove which investments deserve more funding and which should be stopped.
AI value management connects established disciplines such as FinOps, ITFM, TBM, SPM, security, and platform engineering around one practical question: is AI creating enough value to justify its full cost, risk, and operating burden?
For a fuller framework, see The Layers of AI Value Management.
Follow the threads that connect AI cost, value, governance, and operating discipline.
