AI ROI for IT and AI Governance Teams
By Paige Gilmore, Founder, NetLift · Published 2026-07-28 · Updated 2026-07-28
IT and AI governance teams use NetLift to report AI value across the business with Evidence Quality, control tool sprawl, and recommend what to expand, review, improve or stop — without surveilling individuals.
A credible, non-intrusive view of AI value
IT and AI governance need to show whether AI adoption is working across the business — without turning into surveillance. NetLift reports AI value by team, workflow and tool, with Evidence Quality on every claim, and is explicitly built for business-value reporting, not individual productivity scoring.
Control tool sprawl and unallocated spend
See attributed versus unallocated AI spend, overlapping tools and unused seats, so you can consolidate with evidence instead of guesswork.
Standardise how AI ROI is measured
Every team measures AI value the same way — time with and without AI, real costs, and a plain-English Evidence Quality rating — so reporting is consistent and defensible. Scoring logic and thresholds are never exposed.
Recommend what to expand, review, improve, or stop
Give leadership and risk a clear, evidence-backed recommendation for each AI tool and team.
Frequently asked questions
How do IT and AI governance teams report on AI value?
NetLift reports AI value by team, workflow and tool — time saved, net value and spend — each carrying a plain-English Evidence Quality rating, giving IT and governance a consistent, defensible view across the business.
Does NetLift monitor individual employees?
No. NetLift is designed for workflow and business-value reporting, not individual productivity scoring or surveillance.
Can NetLift help control AI tool sprawl?
Yes. It shows attributed versus unallocated AI spend, overlapping tools and unused seats, so governance can consolidate and decide what to expand, review or stop with evidence.
About the author
Paige Gilmore is the founder of NetLift, the AI Value Management platform that helps organisations measure the cost, savings and return of AI adoption. Paige Gilmore on LinkedIn