Agentic data fabric with predictive intelligence

A system comprising:

• one or more processors;
• and
• memory storing instructions that, when executed by the one or more processors, cause the system to perform:
• generating, by a multi-tenant platform, a plurality of profiles that consolidates tenant data of the multi-tenant platform with interaction and transaction records from heterogeneous data sources in real time, wherein the plurality of profiles comprise at least a portion of a knowledge graph generated and maintained by the multi-tenant platform, wherein the knowledge graph comprises a governed, graph-structured unification of entities and relationships resolved across the heterogeneous data sources and preserved with lineage metadata;
• executing, by an agentic orchestration system of the multi-tenant platform, a plurality of artificial intelligence (AI) agents, wherein an orchestration agent of the plurality of AI agents orchestrates the other AI agents of the plurality of AI agents, wherein each of the AI agents of the plurality of AI agents includes a respective large language model (LLM);
• providing, by the agentic orchestration system, a model interface layer associated with the multi-tenant platform that securely connects to an external machine learning (ML) model of a particular AI agent of a plurality of third-party agents while enforcing data governance rules, wherein the external ML model can access customer data from the profiles of the multi-tenant platform under context-aware policies;
• providing, by the agentic orchestration system, secure access to a curated set of customer data from the plurality of profiles to the external ML model through the model interface layer, without exporting the curated set of customer data into a separate repository, such that the ML model processes live enterprise data in place;
• receiving, from the external ML model via the model interface layer, a predictive output derived from the curated set of customer data, the predictive output comprising an insight or recommendation associated with at least one profile of the plurality of profiles;
• updating, by another AI agent of the plurality of AI agents, at least one profile of the plurality of profiles by writing the predictive output as a new attribute of the at least one profile, thereby enriching the profile with machine-generated insight in real time to create an enriched profile, wherein the enriched profile is immediately available for consumption by any of the one or more of the other AI agents of the plurality of AI agents and the plurality of third party AI agents;
• in response to the updating, automatically executing by another AI agent of the plurality of agents, one or more data stewardship operations using the enriched profile.