Has anyone else noticed that AI is changing where SaaS value comes from?
A few years ago, if your software automated a workflow, that was enough.
Now almost every SaaS product is adding AI to automate execution. The feature gap feels like it's shrinking much faster than before.
What I'm starting to wonder is whether the next competitive advantage isn't doing the work, but making the work trustworthy.
For example:
Why did the AI recommend this?
Can someone review or override it?
Who's accountable if it's wrong?
Can it fit into an enterprise approval process?
It feels like buyers are evaluating AI products less on generation quality and more on whether the output is something they can safely act on.
Curious if other founders are seeing the same thing.
Have your customers started asking more about governance, explainability, or approvals than model quality itself?
I think there's another shift happening alongside trust.
The systems I find easiest to trust aren't necessarily the ones that explain every decision. They're the ones that know when not to make one on their own.
Explainability is valuable, but recognizing uncertainty and asking for human judgment at the right moment builds a different kind of confidence. That feels just as important as the quality of the AI itself.