Why Using Pilots to Evaluate AI for Promotional Review Efficiency Makes Sense

Pilots play an important role in helping any company evaluate new technology like artificial intelligence. During a panel presentation last year at a promotional review conference, a methodology for initiating and maintaining an AI pilot was developed. This White Paper documents three strategies employed to optimize the quality of content coming into the review and approval process by studying the role of artificial intelligence.

Quality content is the lynchpin of organizational agility and customer centricity. If promotional content entering the system is of poor quality, the entire promotional review process slows down, making it impossible to deliver bite-sized content rapidly and fluidly to a target audience through personalized channels. For decades, the process to ensure that promotional content entering the review and approval process is of high quality has been manual. It is time consuming for reviewers to manually check content for accuracy and quality. A manual process also increases the likelihood of errors and redundancies, and creates variability in approved content.

That’s why there is a solid business case for automating the process to improve the quality of content from the very beginning— upon asset development and prior to submission for review.

It’s important to be realistic and understand that embedding AI pre-MLR is a journey. It takes time to change a process. The ultimate goal is to improve the user experience with newly adopted technology.

Establish a baseline, set thresholds for improvement, and then project the changes to each user’s experience upon

the completion of the POC to determine value. Ultimately, AI-powered software can help to ensure that patients, healthcare providers, payers, systems of care, and the general public get precise, personalized, and rapid responses to their demand for healthcare information.