Measure AI by the work your business finishes

An AI tool can make one task faster while leaving the business outcome unchanged. At Devmojos, we think a useful AI investment discussion should follow the work all the way to completion, including the human effort around it.

Consider a hypothetical supplier-invoice process. A tool extracts the supplier name, invoice number and amounts. But the purchase-order reference is missing, a charge needs clarification or the invoice does not match the goods received. Someone still needs to investigate, contact the right person and correct the record. Faster extraction may be useful; the invoice still needs to reach an agreed finish line.

Before deciding what to automate, map the handoffs. Follow an invoice from arrival through checking, clarification, approval and entry into the payment process. Name the owner of each transition and the information they need. Decide what happens when that information is missing. In this example, finished could mean correctly recorded, appropriately approved and ready for payment, with unresolved items assigned to a person.

Establish a baseline across that whole path. Record processing and review effort, corrections, repeated handling and time spent waiting for missing information. Include colleagues who answer follow-up requests. A change that removes work from one desk may add it to another, so both belong in the comparison.

Test ordinary cases alongside exceptions: missing references, unclear charges, duplicate submissions and mismatched details. Check whether routine work reaches completion and whether a person receives enough context to resolve an exception. The result should show what actually happened, including cases that stopped or needed help. A convincing demonstration is a starting point for that evaluation.

Include operating work in the assessment. Someone will maintain connections, inspect failures and adjust the workflow when the business changes. Agree who will do that and how the team will notice when the process no longer behaves as expected. Any claim of saved effort should account for review, correction and maintenance as well as the automated step.

At Devmojos, our software delivery and AI workflow services can help turn that discussion into a defined implementation scope. Start with the process boundary, completion criteria, test cases and measurement plan. Savings are something to investigate through testing, rather than assume in the brief.

For a practical first step, walk a small selection of recent invoices through the current process with the people who handle them. Mark each handoff and unresolved item. What must be true for you to call the work finished—and will your AI evaluation measure all of it?