A technique for qualification of loops for new digital subscriber line services (DSL) involves use of an expert system, such as a neural network. A database of loop characteristic information and performance data enables the expert system to train or learn how to predict performance for future loops. In response to data characterizing a new loop to be qualified, the trained expert system predicts digital subscriber line performance for the new loop. Typically, the prediction enables classification of service capacity for the new loop into one of several classes corresponding to levels of DSL service offered through the network. The database for use by the expert system is updated as each newly qualified loop is brought into service and actual performance for that loop is known.