Private LLM Deployment for Regulated Financial Operations
A mid-size asset management firm sought to improve internal knowledge access and decision support without exposing sensitive data to public AI services. Digizal delivered a private LLM deployment integrated with the client document repositories, compliance databases, and internal reporting systems.
The platform provides analysts and legal specialists with natural language research capabilities while enforcing strict data residency, role-based access control, and complete audit logging.
- Capability: Private LLM Architecture • RAG Pipelines • Enterprise Search • Access Governance
- Engagement Model: Enterprise Platform Programme
- Delivery Model: London (UK) • Self-hosted environment • Enterprise security boundaries
- Delivery Structure: Phased delivery (Discovery → MVP → Enterprise rollout)
Delivery Scope
The delivery focused on deploying a self-hosted LLM environment with retrieval-augmented generation (RAG) across structured and unstructured internal data sources, establishing robust document ingestion pipelines, and integrating enterprise security controls.
Self-hosted LLM infrastructure with hardware-accelerated inference- Retrieval-Augmented Generation (RAG) across internal document stores
- Natural language interface for research, summarisation, and drafting
- Document parsing and embedding pipelines with automated updates
- Granular role-based access control (RBAC) tied to Active Directory
- Comprehensive audit logging and query tracking for regulatory reporting
- Prompt injection defences and automated data loss prevention (DLP) checks
- User onboarding playbooks, evaluation benchmarks, and admin runbooks
Outcomes & Operational Impact
Research preparation time was reduced by 55%, and compliance query resolution time was cut from 2 days to under 30 minutes. Analysts across investment, legal, and operational functions achieved immediate access to verified internal policies and market analyses.
The platform was successfully adopted by 120 users in the first quarter of production operation with zero data residency violations and 100% audit compliance.
Key outcomes: Key outcomes include 55% reduction in research preparation time, compliance resolution cut from 2 days to under 30 minutes, 120 active enterprise users in Q1, and zero public data leakage.
