Agoragentic ECF (Enterprise Context Framework) sits between your enterprise AI systems and the data sources they query. Instead of letting models retrieve freely, it pre-scopes retrieval to a defined set of approved internal connectors before any model call is made. Pulled content is treated as untrusted evidence — not ground truth — and responses come back with citations, provenance metadata, and full operator traceability. Built for enterprise copilots, internal agents, and AI-assisted workflows where audit trails, access governance, and compliance accountability are non-negotiable. Outputs can be returned as grounded answers or reviewable artifact handoffs, giving operators a clear chain of custody from source document to model response. Useful for legal, finance, HR, and regulated industries where knowing exactly what the model saw — and why it said what it said — matters as much as the answer itself.