The problem isn’t NPS itself. It’s how most organizations run their NPS programs, and how they interpret and use the resulting score.​

“Tokenmaxxing” is a Silicon Valley workplace trend where employees maximize their AI token consumption to demonstrate productivity.

Someone has to translate the business expectation into technical reality, and then translate the technical reality back into business consequences.

So what’s different now? The answer is edge convergence.

As organizations modernize for FIPS 140-3, leaders must determine where the rules apply, how systems interact and whether compliance will hold up as technology changes.

When everyone becomes an innovator and nobody owns the outcomes, organizations end up producing far more noise than they do value. ​

​For years, identity security has rested on the assumption that identities behave predictably, but ​autonomous AI agents break that assumption.

Instead of rebuilding every environment to suit the AI, you give the AI a standardized way to plug into any environment.

Once a critical mass of people is fully invested, there’s no turning back for anyone.

The lesson is not to move everything onto decentralized infrastructure. It is to start with the smallest trust gap worth solving.