An AI demonstration can produce a draft in seconds. That does not tell you whether the same tool improves a real business process. The useful question is how much time and effort remain after someone prepares the input, reviews the result, and corrects mistakes.
Choose one workflow to measure. Proposal drafting, internal knowledge lookup, and meeting-note preparation have different risks and success criteria. Combining them into one broad goal such as improve productivity makes it difficult to decide whether the project has worked.
Record a baseline before the pilot. Estimate how often the task occurs, how long it normally takes, and what a satisfactory result includes. Use several representative examples rather than the easiest case. Include the time other employees spend reviewing or correcting the work.
For a simple illustration, assume a task happens twenty times each week. If AI reduces the complete process from fifteen minutes to ten minutes, that is one hundred minutes of potential weekly capacity. Those minutes are not automatically cash savings; their value depends on whether the team can use them productively.
Track quality alongside speed. Record missing information, factual errors, and situations that require starting over. A fast draft that quietly introduces incorrect terms into a customer proposal may create more work than it removes. Keep approval responsibility with someone who understands the content.
Include the costs outside the subscription. Setup, training, permission cleanup, integration maintenance, and ongoing review all affect the result. A pilot can reveal that a simpler template or conventional automation solves the problem more reliably, which is still a useful finding.
Ask the people doing the work whether the process fits their day. Low adoption may indicate confusing instructions or a poorly chosen task. Gather specific examples and adjust the workflow before assuming more training is the only answer.
Set a decision date and clear continuation criteria. Expand the pilot when it demonstrates a repeatable benefit, improve it when a defined gap remains, and stop it when the costs outweigh the value. Contact InnerDigital to design an AI pilot with measurable business outcomes and appropriate review.