Anix AI Compliance Engine: Empowering Financial Sovereignty
A mission-critical, on-premise AI architecture designed to automate demanding regulatory audits. Built on the BDAT Enterprise Framework, the solution ensures Indian financial data remains secure, private, and fully compliant within local borders through agentic intelligence.
Client Type
Financial Services & Regulated Enterprises
Region
India
Engagement Type
AI Platform Development + Regulatory Compliance
Duration
Built as core product offering
Role
Product architecture, agentic engine design, and regulatory compliance framework
What We Delivered
- Fully containerized, air-gapped agentic compliance engine using local LLMs
- Layout-aware OCR system for complex financial document parsing (tables, balance sheets, footnotes)
- Universal Modular Ruleset (UMSR) for sector-agnostic regulatory compliance
- Evidence-backed citation engine mapping violations to source documents
- Dockerized microservices architecture for hardware-agnostic deployment
- Integration framework for SEBI, RBI, and sector-specific regulatory mandates
How We Delivered
- Built on BDAT Enterprise Framework for secure, on-premise AI operations
- Implemented agentic reasoning layer for regulatory intent interpretation
- Designed modular ruleset architecture (JSON-based) for rapid regulatory updates
- Created layout-aware document processing pipeline with 100% extraction accuracy
- Developed Docker-based deployment for immediate setup in secure data centers
- Established evidence chain tracking for audit trail and regulatory defense
Key Features
Agentic Reasoning Engine
Goes beyond keyword matching to interpret the 'intent' of regulations (e.g., SEBI, RBI mandates). Uses local Large Language Models (LLMs) to perform deep-context auditing without internet connectivity, enabling nuanced understanding of regulatory requirements.
Layout-Aware OCR
Expertly partitions complex tables, balance sheets, and footnotes for 100% data extraction. Handles multi-column layouts, nested tables, and financial statement structures common in annual reports and regulatory filings.
Universal Ruleset (UMSR)
A modular logic layer that adapts to any sector—Manufacturing, Banking, or Trade—with a single JSON update. Enables rapid deployment across different regulatory frameworks and industry-specific compliance requirements.
Evidence-Backed Citations
Automatically maps every violation to a specific page and paragraph in the source PDF. Provides auditors with complete traceability and defensible evidence chains for regulatory submissions and internal reviews.
Air-Gapped Architecture
Fully containerized, on-premise solution that never connects to the internet. Ensures 100% data sovereignty and compliance with India's data privacy laws, making it suitable for the most sensitive financial audits.
What Made It Hard
- Data Vulnerability: Standard AI tools require uploading sensitive data to public clouds
- Audit Fatigue: Human auditors often miss nuanced regulatory violations in high-volume documents (e.g., 76-page annual reports)
- Scale vs. Accuracy: Increasing audit speed typically results in higher error margins
- Regulatory Complexity: Need to interpret intent of SEBI, RBI mandates beyond keyword matching
Results and Impact
Absolute Data Sovereignty
Ensures 100% compliance with India's data privacy laws as no data leaves the local premise. Provides regulators with confidence in data handling and enables enterprises to maintain full control over sensitive financial information.
90% Time Efficiency
Reduces a 6-hour manual audit to a 10-minute automated validation pass. Auditors can process high-volume documents (like 76-page annual reports) with unprecedented speed while maintaining accuracy.
Proactive Risk Mitigation
Identifies reporting gaps before filing, preventing heavy penalties and legal scrutiny. Enables enterprises to catch compliance issues early and address them proactively rather than reactively.
“Anix AI Compliance Engine represents a paradigm shift in regulatory auditing. By combining agentic intelligence with absolute data sovereignty, we've created a solution that doesn't compromise between compliance accuracy and data security. Financial institutions can now audit at scale without ever exposing sensitive data to external systems.”
Dr. Aniket Mhala
Founder & CEO, Anix AI LLP
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