Product & Strategy
How to Choose a Good Agentic AI Use Case
Find work where adaptive decisions create value and errors remain detectable, recoverable, and bounded.
Look for variable paths
Strong candidates involve changing inputs, multiple systems, and decisions that cannot be captured by one fixed sequence. Repetitive deterministic work is usually better served by ordinary automation.
Prefer verifiable outcomes
The system should be able to check whether the task was completed using evidence such as tests, record state, or human confirmation. Subjective outcomes require more review.
Bound the downside
Begin with read-only, reversible, or draft-producing work. Expand autonomy only after evaluation and production data show that controls work under real conditions.