SOLUTION · WEALTH MANAGEMENT COMPLIANCE
AI Compliance Search for Wealth Managers That Need Precision
Structured retrieval across regulatory corpora with tenant-scoped context isolation and full audit logging.
Target focus
AI compliance search for wealth managers
The problem
Wealth management compliance teams spend disproportionate hours manually searching dispersed regulatory sources — MiFID II suitability obligations, FINRA conduct rules, internal policy libraries, and product governance frameworks. When a relationship manager needs a definitive answer before a client call, fragmented search tools return inconsistent results, creating documentation gaps and regulatory exposure that accumulates silently across the book of business.
Our approach
Bancr Advisory deploys retrieval-augmented generation (RAG) pipelines scoped to your firm's specific regulatory universe. We ingest structured and unstructured sources — rulebooks, internal policies, supervisory guidance — into a permission-gated vector store. Queries are resolved against versioned document snapshots, every retrieval event is written to an immutable SOC 2 audit log, and responses cite the originating clause so compliance officers can verify the source without re-running the search manually.
Capabilities
3 areas
01
Tenant-Scoped Context Isolation
Each firm's regulatory corpus is stored in an isolated index; no cross-tenant data bleed during query resolution.
02
Clause-Level Citation Output
Every AI-generated response references the specific rule section, version date, and source document for auditor review.
03
SOC 2 Audit Logging
All search queries, retrieved passages, and user identities are written to a tamper-evident log for supervisory examination.
Frequently asked
Questions we answer daily.
- How does the system handle regulatory updates, such as a revised FINRA notice or updated suitability guidance?
- Source documents are ingested on a scheduled pipeline with configurable refresh intervals. When a new version is detected, the prior version is retained with its effective-date metadata and the index is updated. Queries can be pinned to a specific effective date, which is relevant for reconstructing the regulatory context applicable at the time of a past client interaction.
- What controls prevent the model from hallucinating a rule that does not exist in the source corpus?
- The retrieval layer operates on a closed corpus: the language model is constrained to synthesize responses only from retrieved passages, not from its pre-training weights. If no passage meets the relevance threshold, the system returns a structured no-result response rather than generating an unsupported answer. This boundary is enforced at the inference layer, not through prompt instructions alone.
- Can this integrate with our existing compliance workflow tools, such as our case management or surveillance platform?
- Yes. The search service exposes a REST API with role-based access controls, allowing integration into existing case management systems, advisor desktops, or surveillance platforms via standard OAuth 2.0 authentication. Bancr Advisory's implementation team scopes the integration during the discovery phase and delivers documented API contracts before development begins.
Ready to Reduce Compliance Search Overhead?
Book a structured discovery call to review your regulatory corpus, data residency requirements, and integration constraints.