AI ROI for education is determined by measuring the difference between the time a task takes without AI and the time it takes with AI. This time saving is converted into a labour value by multiplying the hours saved by the loaded hourly staff cost, providing a clear financial metric for finance and operations leaders.
To move beyond hype, institutions must subtract the full cost of adoption—including licences, implementation, training, and rework—from the labour value. This results in the current net value, which informs whether an AI initiative should be expanded, continued, or stopped based on actual financial performance.
How is the labour value of AI time savings calculated?
NetLift converts time saved into a dollar figure by multiplying the hours saved by the loaded hourly cost of staff. For general modelling, a default loaded cost of $75 per hour is used. The time saved is defined as the time the work would have taken without AI minus the time taken with AI assistance. This calculation provides a tangible baseline for assessing the financial impact of AI on school operations.
What costs are included in the AI net value calculation?
A credible ROI figure must account for the full investment required to achieve time savings. This includes direct licence fees and usage costs, as well as the labour costs associated with implementation and staff training. Additionally, any time spent on human review and rework must be tracked and subtracted to ensure the net value reflects the true efficiency gain rather than just a shift in workload.
How does evidence quality affect AI investment decisions?
Not all data is equal. NetLift grades evidence quality from 'Estimate Only' to 'Verified'. High-quality evidence relies on objective baselines, such as historical data or cohort comparisons, rather than self-reported estimates. Factors like sample size, the recency of the data, and the completeness of cost tracking determine the confidence level of the ROI figure, allowing leadership to make decisions based on robust financial evidence.
Why is realized value stated separately from future value?
Realized value represents the net return from work already completed, while future value is a projection of expected recurring savings based on expected volume. Separating these two figures prevents the inflation of current budget reports. It ensures that finance and operations teams can distinguish between the money already saved and the potential value that may be unlocked if current trends continue.
How are AI initiatives categorized after measurement?
Once an area of work is measured, it is assigned one of five decision states: Expand, Continue, Review, Improve, or Stop. This deterministic approach ensures that AI adoption is managed like any other capital expenditure. If an AI tool fails to show a clear payback or a positive net value, leadership has the data necessary to either improve the implementation or cease the spend.
NetLift provides a deterministic value model for education leadership to measure whether AI spend truly pays back. By comparing verified time saved against a default loaded staff cost of $75 per hour, institutions can track net value without resorting to surveillance. NetLift measures work and value, ensuring no screenshots, keystroke logging, or browser monitoring are used to generate ROI data.