Jinba Flow, Workato, LangSmith, Tines, and n8n ranked on RBAC at the execution layer, audit log depth, IdP integration, and on-premise deployment for banking, insurance, healthcare, and legal.
NIST AI RMF, ISO 42001, and the FS AI RMF's 230 controls compared side by side, plus the workflow-level audit logs and RBAC banks actually need.
Deploy agentic AI governance in air-gapped banks without replacing your IAM stack, using a 3-phase model: federate agent identities into Active Directory, enforce policy via deterministic workflows, then build regulator-ready audit trails.
Credo AI leads on policy registries, Holistic AI on model validation. Neither logs who ran what at the workflow step level. Where each platform fits depends on which governance layer you actually need.
Graph RAG generates a graph from text at indexing time; a pure knowledge graph is a curated source of truth. For regulators, that distinction is material: one is auditable, the other is probabilistic.
Compliance turnover is a compliance risk: when a KYC analyst or loan processor leaves, their unwritten process logic leaves with them. Five tools rated on whether they actually retain it.
Enterprise brain platforms index knowledge; workflow platforms execute processes. Banks and insurers need both, and this piece shows which vendors span the gap for KYC, underwriting, and compliance.
RAG matches meaning but hallucinates. Knowledge graphs are precise but expensive and brittle. Deterministic workflows are the compliance-first architecture, and this piece maps each to the use cases where it wins.
KYC and AML need two database types: vector search catches reused fraud templates, graph traversal maps beneficial ownership. Relying on one creates compliance gaps examiners will find.