How to estimate the value of an AI project

Start with one repeated task

An AI project is easier to assess when it improves a defined piece of work. Start with the task, how often it happens and the time it takes today. Preparing a weekly report or organizing incoming enquiries is a more useful starting point than “make the business AI native”.

Measure the current process before estimating an improvement. Include the time spent correcting mistakes, finding missing information and reviewing the output. The first project may involve connecting existing systems or using standard automation rather than commissioning a new application. If you’re still choosing the task, read where to start with AI implementation.

Count the work that remains

An estimate should include the proportion of tasks that will actually use the new workflow and any additional human review. A tool that handles part of a task can still be useful, but the whole task has not disappeared. Training, exceptions and data preparation also require time and budget.

Lime’s calculator applies the expected reduction to the current task time, subtracts additional review time, then adjusts for the expected adoption level. Its results are estimates based on your inputs. A pilot provides evidence to replace those assumptions.

Separate capacity from cash

Hours released can give a team more capacity for customers, follow-up or other work. That does not automatically reduce payroll or create revenue. A cash saving requires an identifiable expense reduction, such as less paid overtime or a lower external processing bill.

If the implementation costs $12,000 and ongoing costs are $300 a month, the net economic value is $900 a month, giving an indicative economic payback of 13.3 months. But if none of the released time reduces an actual expense, the model shows no cash payback and a negative $15,600 first-year cash impact. Both views matter when deciding whether the investment fits the business.

Include the full cost of running it

Compare the opportunity with implementation, integration, data preparation, training, software licences, hosting, AI usage, maintenance and staff review. Ask what is included in the quoted scope, what is billed separately and who will operate the workflow after launch.

Repayable funding should be considered separately as financing. It does not make the supported work free or remove its cost from the business case. Read the current program terms and evaluate the project on its own merits.

Test a cautious scenario before committing

Try a lower adoption rate, a smaller time reduction and more review effort. If the project only works under optimistic assumptions, narrow the scope or collect better evidence. A small pilot can measure processing time, missing information, corrections and actual usage before a wider rollout.

Put your assumptions to work

Use Lime’s AI project-value calculator to compare capacity and cash impact, then save the assumptions for a project discussion. If you need help choosing the workflow, start with the AI Opportunity Check or request a free 20-minute AI Opportunity Review. Detailed project planning is a separately scoped paid engagement. See how Lime approaches AI consulting and implementation.