AI saves time. Does it save money?
Separate time released from demonstrated cash savings and profit.
Start with two different questions
An AI business case needs a forecast and a way to compare that forecast with observed results. Hours released, expense reductions and profit impact answer different questions. Recording them separately makes the funding decision easier to explain.
In the fictional support-team example in the video, the first-month plan projects 160 hours released and $2,000 in expense reductions. The illustrative results show 120 hours released and $1,000 in expense reductions. Setup and operating costs are also above plan. These figures illustrate a method; they are not Anvaylo customer results.
Measure the full cost
A faster task may create useful capacity without reducing an expense. Before calling the change a cash saving, identify the expense that actually fell and the records that support the claim. If capacity is used to produce additional work, evaluate the contribution after the associated costs.
Include setup, subscriptions, checking, rework and ongoing oversight. Compare the same period, population and scope, and check that answer quality has been maintained. Do not add the same benefit twice under different labels.
Make the next funding decision explicit
Record the baseline, forecast, observed results and explanation for differences. Give each material assumption an owner. Decide whether the evidence supports expansion, a redesigned pilot or stopping the work.
The AI Investment and Business Case Toolkit combines an executive guide and working templates to help teams connect those records with the next funding decision.
Read the video transcript
Harborview is a fictional support team. Its AI assistant drafts replies for human review. The plan projects 160 hours saved a month. That creates capacity, but it does not by itself reduce expenses.
The business case projects $2,000 in monthly cost savings, against $1,500 in monthly operating costs and $20,000 to set up. These are forecasts, not achieved results. The projected first-year net benefit is negative $14,000.
Now compare the first month with the first-month plan. In this fictional illustration, the team releases 120 hours, reduces expenses by $1,000, and spends $1,800 to operate. Setup actually costs $22,000. Time saved is real in the example, but the financial result falls short of the plan.
Compare the same period and cost boundary. The projected first-month net benefit is negative $19,500. The illustrative realized result is negative $22,800. One month of evidence does not establish annual return on investment or payback.
Before expanding, reconcile savings to the expense records, explain cost overruns, and confirm quality and review controls. Additional revenue counts only as attributable profit contribution after related costs. Do not add the value of saved hours to cost savings from those same hours.
Anvaylo's AI Investment and Business Case Toolkit helps your team document projected benefits, compare them with realized results, and make an evidence-based funding decision. Measure capacity gained, cost savings and profit impact separately, using the full cost of AI.
Download this toolkit, and others like it, from the Resources page at anvaylo.com. Anvaylo. Governance Intelligence.
Explore the related executive guide and companion working records.
Explore the toolkit →