After implementing a pilot AI program in your company, and evaluating the success or failure, the next step is to scale up a successful test.
If the pilot did not meet the bar for success, don’t throw the learning away. Understand what the key issues were that prevented success. Then evaluate if AI is really a fit for your company.
Use the learning to refine the pilot and determine if another test is in order.
If the test met with success, then you are ready to scale up and bring the test to life within the entire company.
Work on a plan that can be replicated and with minor tweaks, used again and again to provide a framework for the next AI deployment.
Ongoing monitoring is also critical to long term success of AI in any company. Ensure you have the analytics and feedback set up for continuous learning and refinement.
