AI Doesn’t Have to Be Complex to Be Transformative

Some of the most impactful AI implementations are the most overlooked ones as well. Here's how to establish quick ROI with an AI pilot.

When a human performs the same repetitive task repeatedly, it represents an ideal point to introduce AI for automation, which often improves the overall efficiency of the process. 

A good example of this is the automation of back-office processes such as billing and invoice document processing, where hours or days of work can be reduced to minutes.

While manual errors were once an accepted part of these workflows, given the limitations of previous technology, this is no longer the case.

In the age of AI, the return on investment is clear: reduced costs, increased efficiency, fewer errors, enhanced brand perception, and a decrease in downstream issues resulting from those errors.

To test AI in a simple workflow, you can begin by having a human perform the task first. 

Next, have the AI complete the same task. 

The human then only needs to review the AI's output for accuracy.

If a discrepancy is found, it might point to an error in the human’s work.

Once confidence in the AI process is established, switch the order: let the AI perform the task first, with the human providing a final check.

The AI does not need to be perfect… most likely the human process was not perfect either. 

Whether the AI does most of the work, or checks the work, or runs completely on its own, the process is a “success” if the measured outcomes are better than that of the original process. 

From there, you can iterate to make it better.