Regulatory Reporting

Grounds AI in a knowledge graph to produce auditable compliance monitoring and regulatory reports from fragmented enterprise data.

Business impact

• ROI — The article reports a 370% ROI.

Data requirements

• Enterprise compliance and portfolio data (tabular) — The deployment ingests structured data from multiple enterprise systems.
• Snowflake data (tabular) — One of the systems feeding the knowledge graph.
• Salesforce data (tabular) — One of the systems feeding the knowledge graph.
• Databricks data (tabular) — One of the systems feeding the knowledge graph.

AI methods and techniques

• GraphRAG — Used to retrieve grounded context from the knowledge graph before generating responses.
• Knowledge graph grounding — Enterprise data is modeled as connected entities and relationships so the AI can reason over regulated data with traceability.
• Deterministic retrieval — The system follows a strict protocol rather than guessing, so outputs can be reproduced and audited.
• Custom transformers — Built on top of the stack to support the regulated workflow and deterministic behavior.

AI models and model families

Vertex AI, Gemini

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Arhasi.