AI & Agents • Case StudyGlobal Financial Institution Automates Compliance Audits with Multi-Agent Swarms & Deterministic RAG
Replaced manual 20-hour regulatory compliance filings with a deterministic multi-agent swarm running on private Azure OpenAI VPC.
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-88%
Audit Turnaround Time
0.0%
Hallucination Rate
18,500/Yr
Analyst Hours Saved
The Bottleneck
The Enterprise Challenge
Compliance analysts spent over 20,000 hours annually reconciling regulatory policy changes across thousands of fund prospectuses, risking multimillion-dollar regulatory fines.
Synora Soft Architecture
Architectural Solution & Execution
Architected a stateful multi-agent swarm using LangGraph, hybrid GraphRAG retrieval with Qdrant, and strict deterministic citation verification guardrails.
Core Technical Deliverables:
Specialized Planner, Extractor, Auditor, and Reporter agent swarms running in private VPC
Hybrid vector + BM25 lexical search with cross-encoder re-ranking
Zero-data retention private Azure OpenAI GPT-4o deployment
Deterministic paragraph-level citation verification preventing hallucinations
“The deterministic citation framework delivered by Synora Soft gave our Chief Risk Officer the confidence to approve production autonomous AI deployment.”
MS
Michael Sterling
Managing Director of Compliance Tech, Apex Capital • Apex Global Wealth & Capital
Technologies Deployed:
LangGraphAzure OpenAIQdrantPythonDocker
Architectural Partnership
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