Our leadership team is arguing over whether we should build a proprietary AI layer on top of our existing ERP or wait for our legacy software vendors to release their own native AI features. How do we avoid getting stuck in analysis paralysis while our competitors outpace us?

Question

Tyler Smith · Accepted Answer

Waiting for legacy ERP vendors to release native AI features is a dangerous gamble. ERP giants move slowly, and their generic AI updates may not solve your specific operational bottlenecks.

However, building a custom proprietary layer is also risky and expensive. To break this deadlock, use the IDS® process during your next leadership team meeting.

Look at your list of issues and identify the specific operational pain point you are trying to solve. If the pain point is data entry speed, look for low-code middleware platforms that can bridge your ERP with secure AI APIs today.

This middle path allows you to build a lightweight, proprietary integration without the expense of a custom software build. You gain immediate efficiency gains while remaining flexible enough to adopt native ERP features if they eventually release a superior solution.

Set a ninety day Rock to implement a low-code AI pilot for one specific department. This keeps your team moving forward and prevents analysis paralysis.