Start with a unit of work

Consider an incoming service request. Someone reads it, searches for context, checks the rules, updates a record, and sends a reply. AI-native design asks which of those steps can be connected, which need judgment, and how the result can be checked.

Define three levels of autonomy

Assisted systems propose work for review. Supervised systems execute within approval boundaries. Autonomous routines run only within validated permissions and limits. Different steps in the same process may use different levels.

Keep ownership visible

Someone still owns the process, its exceptions, and its acceptance criteria. Give that person visibility into actions and failures, and a way to pause or correct the system.

Improve from evidence

Test against representative cases before rollout. Review actual exceptions and changes in input data. Expand the scope when the evidence supports it, with regression checks for each change.

Further reading

NIST AI Risk Management Framework covers evaluation and operational risk. OWASP’s prompt injection guidance explains untrusted inputs and permission boundaries.

An AIS Lab editorial perspective. Architecture and operating choices depend on the requirements of each application.