How AI-native companies turn workflows into operating capability
TL;DR
Basis, Clay, and Exa Labs use AI agents in day-to-day operations rather than as experiments: in onboarding, account management, and developer integrations. The common thread is that the agents plug into existing workflows instead of replacing them. For enterprise leaders that produces a blueprint for which processes to tackle first, and the interesting part is the jump from pilot project to durable operating capability.
Nauti's Take
What makes these examples interesting is that the agents plug into existing processes instead of demanding a full reinvention, and that is what makes the progress measurable. The risk sits in the sourcing: cases like these almost always come from the vendors themselves, and hard numbers on error rates are missing.
Teams running onboarding or support still get a usable starting list, while anyone without clean process documentation should fix that first.