Bank-level compliance is becoming more complex every quarter, yet many risk and finance teams still rely on spreadsheets and manual cross-checks, resulting in three- to five-day turnaround times, costly resubmissions, and an audit risk. Betterdata’s Retrieval-Augmented Generation (RAG) platform solves compliance and regulatory challenges with multimodal AI, synthetic data, and on-prem deployment built for air-gapped environments.
1. How Betterdata’s RAG Architecture Works:
Traditional Approaches Fall Short,
- Fragmented data sources: Core banking, internet banking, credit systems, and policy docs all live in silos.
- Manual reconciliations: Analysts spend days matching figures across MAS 610, Basel III, FATF, and internal templates.
- High error & resubmission rates: Up to 20 % of filings bounce back for corrections, inflating both cost and risk.
Betterdata’s Retrieval-Augmented Generation (RAG) platform is a transformative solution that addresses these challenges and elevates enterprise regulatory reporting capabilities.
a. Multimodal Knowledge Indexing
Text, tables, and images are extracted, semantically chunked, and embedded into a vector database. Contextual retrieval adds extra metadata to every chunk so the LLM understands exactly where a clause sits inside AML guidance or MAS notices.
b. Intelligent Query Rewriting
User questions (“Does our policy align with AML?”) are expanded into multiple domain-specific variations, boosting recall and surfacing hidden gaps.
c. Fine-Tuned LLMs & Tabular Reasoning
A lightweight vision-language model (e.g., Qwen2.5-VL-3B) plus TableGPT2-7B interprets charts and regulatory returns, while a separate fine-tuned LLM reproduces your compliance-matrix layout pixel-perfect—no post-editing required.
d. Audit-Grade Logging
Every retrieval, suggestion, and final output is timestamped for audit trails, satisfying internal governance and external regulators.
e. Deployment in Secure, Low-Compute Environments
The full stack peaks at 12 GB GPU RAM for compliance-matrix generation and 32 GB for full regulatory-reporting mode, well within a high-end laptop or on-prem server. CPU-only configurations are also supported, crucial for banks that restrict GPU-enabled clouds.
2. Proven ROI for Tier-1 Institutions
Betterdata’s AI-native approach lets you move from reactive reporting to real-time compliance intelligence, without compromising on-prem security. Book a technical demo to see the RAG engine identify a policy gap and auto-build a mitigation plan in minutes.
