WealthManagementFirmBuildsInternalComplianceAssistantwithLangChain.js
How a wealth management firm built an internal AI assistant with LangChain.js and Qdrant to make compliance manuals and regulatory guidance instantly queryable by advisers — replacing manual document searches and reducing compliance team interruptions.
Key Benefits
How a wealth management firm built an internal AI assistant with LangChain.js and Qdrant to make compliance manuals and regulatory guidance instantly queryable by advisers — replacing manual document searches and reducing compliance team interruptions.
- Compliance: Q&A Automated
- Auto-updated: Docs
- 8 Wks: Delivery
The Challenge
Advisers at a wealth management firm frequently needed to check compliance requirements, regulatory guidelines, and internal policy documents before proceeding with specific client transactions. The compliance documentation spanned hundreds of documents — product disclosure requirements, FCA guidance, internal policies, and jurisdiction-specific rules. Manual searching was slow, the compliance team spent significant time answering questions that were already documented, and the risk of an adviser proceeding without checking increased with the volume of documentation.
The Solution
Techseria built an internal compliance assistant using LangChain.js and Qdrant, ingesting all compliance manuals, regulatory guidance, and internal policy documents into a vector knowledge base. Advisers query the assistant in plain English and receive direct, sourced answers with references to the specific policy section or guidance document. A LangGraph.js update agent monitors a designated document folder and automatically re-ingests updated or new regulatory documents as they are published. The system is deployed on Azure with adviser-level access control, full query logging for compliance audit purposes, and an admin dashboard showing query volume and document coverage. Scoped and priced from a 2-week Discovery Workshop, delivered in 8 weeks.
Impact by the numbers
- 8Weeks
- Full DeliveryDiscovery Workshop to production deployment in 8 weeks, including document ingestion, testing, and staff onboarding.
Results
How a wealth management firm built an internal AI assistant with LangChain.js and Qdrant to make compliance manuals and regulatory guidance instantly queryable by advisers — replacing manual document searches and reducing compliance team interruptions.
- Compliance Query Response: Faster - Advisers receive sourced answers to compliance questions in seconds rather than searching documents manually.
- Compliance Team Interruptions: Reduced - Routine policy questions answered by the assistant, freeing compliance team time for complex advisory work.
- Regulatory Document Updates: Auto - New and updated regulatory documents automatically re-ingested so the assistant always reflects current guidance.
- Full Query Audit Trail: ✓ - Every adviser query and system response logged with timestamp for compliance audit and review purposes.
- Answers with Document Citations: Sourced - Every response cites the specific policy document and section, enabling advisers to read the full context.
- LangChain.js
- LangGraph.js (document update agent)
- Qdrant Vector Database
- Azure OpenAI Service
- Node.js / TypeScript
Technologies Used
Client Voice
"Our compliance team was spending a large proportion of their time answering questions that were already documented in our policy manuals. Techseria built an assistant that answers those questions directly, with references back to the source document. The audit trail was important for us — every query is logged so we can demonstrate due diligence in how advisers access compliance guidance."