How to know when businesses are serious about AI

 I had lunch with a good friend and colleague Wednesday (December 2025), who is deeply experienced in artificial intelligence.  We talked about how AI is being used, how it is being deployed and when and where companies can expect to see value from AI.

I told him (with full acknowledgement, I am an observer of AI, not an expert) that the current wave reminded me a lot of when SAP was entering the US market and ERP was taking over from disparate financial systems or manufacturing systems.  At that time and soon afterward, we developed a mantra: paving the goat path.  What many companies wanted to do with SAP, a modern, fully integrated application, was to configure it to work the way they had always worked - no rethinking of process flows or decision making, just faster and more integrated ways of doing what they were already doing.

Needless to say, configuring the software to mimic their existing business processes was a mistake.  What this did was lock in older, inefficient processes and, once the configuration was complete, it became difficult to revert the software back to its original state without a full restart.  When you are confronted with new technologies that are a step change from what you've been working with in the past, it makes sense to step back and reconsider everything.

You'll know that companies are serious about AI when they stop using it as a wrapper to existing processes and activities and restructure or rework their core processes and decisions with AI capabilities at the core of what they do.  Too much of what we hear about regarding AI is a wrapper around older, inefficient processes.  Companies are trying to squeeze more value out of older ways of doing things.  The real value will occur when those companies ask themselves - how do I restructure this process, these decisions, this workflow with AI at the core.

The challenge with rethinking is that you cannot obtain "immediate" ROI if you are rethinking the way you work and re-architecting to put powerful tools at the center or core of how you work.  These changes will take time, and the hype machine around AI would lead you to believe that everyone is wildly successful and recognizing great returns from AI.  What they say ain't necessarily so.

Use of AI on the periphery of the business will provide marginal returns at best, but requires low commitment.  When you see companies reworking their operational and decision processes to embed AI at the core, then you'll know they are serious about putting AI to work.

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