One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, a communication interface, and memory, cause the computing platform to:
- train, using historical ledger information and historical node confidence information, an adaptive artificial intelligence (AI) engine, wherein training the adaptive AI engine configures the adaptive AI engine to output, for a given input node, a particular distributed ledger of a plurality of distributed ledgers, to which the given input node should be added;
- receive a request to add a first node to one of the plurality of distributed ledgers;
- input first node information, of the first node, into the adaptive AI engine, wherein inputting the first node information causes the adaptive AI engine to output a node addition score indicating a first distributed ledger, of the plurality of distributed ledgers, corresponding to an information type of the request;
- compare the node addition score to a node addition threshold, wherein the node addition threshold is specific to the first distributed ledger;
- based on identifying that the node addition score meets or exceeds the node addition threshold, cause the first node to be added to the first distributed ledger;
- and
- update, using a dynamic feedback loop and based on the node addition score, the adaptive AI engine.