We introduce S2A3, a unified Bayesian framework for high-stakes computerized adaptive testing that eliminates separate item piloting. Thompson sampling routes uncertain items to informative test-takers while soft scoring attenuates their influence on ability estimates. Stochastic Sympson-Hetter exposure control ensures bank security. Validation on the Duolingo English Test confirms rapid calibration.