Everyone knows bank-level compliance is complex, yet many risk and finance teams still rely on spreadsheets and manual cross-checks. The result?
- Three- to five-day turnaround times
- Costly resubmissions
- Audit risk
The Challenge with Traditional Compliance Approaches:
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.
Solve Bank-level Compliance with Betterdata’s RAG:
Betterdata’s Retrieval-Augmented Generation (RAG) platform solves compliance and regulatory challenges with,
- Multimodal AI
- Synthetic data
- On-prem deployment built for air-gapped environments.
How Does Betterdata’s RAG Architecture Work?
Betterdata’s Retrieval-Augmented Generation (RAG) platform is a AI-powered transformative solution that solves traditional compliance challenges and improves enterprise regulatory reporting capabilities.
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.
Intelligent Query Rewriting:
User questions (“Does our policy align with AML?”) are expanded into multiple domain-specific variations, boosting recall and surfacing hidden gaps.
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.
Audit-Grade Logging:
Every retrieval, suggestion, and final output is timestamped for audit trails, satisfying internal governance and external regulators.
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, which is crucial for banks that restrict GPU-enabled clouds.
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.
