Using artificial intelligence (ai) for reconciliation of migrated information

A method comprising:

• at a computing platform comprising at least one processor, a communication interface, and memory:
• training, using historical information migration error information, an information reconciliation engine to predict information migration errors,
• detecting migration of information from a source information system to a target information system;
• generating, by inputting the migrated information into the information reconciliation engine, a list of predicted migration errors;
• sampling the migrated information to identify a list of real time migration errors;
• identifying corrective actions to address the list of predicted migration errors and the list of real time migration errors;
• generating, based on the corrective actions, a configuration file;
• executing, using the configuration file and on the migrated information, a reconciliation process, wherein the reconciliation process remediates errors on both the list of predicted migration errors and the list of real time migration errors;
• and
• updating, using a dynamic feedback loop and based on the configuration file, the information reconciliation engine.

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 information migration error information, an information reconciliation engine to predict information migration errors,
• detect migration of information from a source information system to a target information system;
• generate, by inputting the migrated information into the information reconciliation engine, a list of predicted migration errors;
• sample the migrated information to identify a list of real time migration errors;
• identify corrective actions to address the list of predicted migration errors and the list of real time migration errors;
• generate, based on the corrective actions, a configuration file;
• execute, using the configuration file and on the migrated information, a reconciliation process, wherein the reconciliation process remediates errors on both the list of predicted migration errors and the list of real time migration errors;
• and
• update, using a dynamic feedback loop and based on the configuration file, the information reconciliation engine.