Financial Intelligence OS Case Study | Flagship Automation
Back to Case StudiesFinancial Intelligence & Reporting OS
Custom AI ingestion + portfolio analytics layer transforming document processing and regulatory reporting.
This Flagship AI automation case study explores Financial Intelligence & Reporting OS. Tags: Flagship, Document Processing, AI Implementation, Reporting, Workflow Automation, OpenAI, Retool, Make.com, AI Automation.
14 days → 3 hours
Quarterly Reporting Time
12 min → 45 sec
Document Processing
2.5×
Scale Without Hiring
Overview
A financial services company (high-net-worth clients, regulatory oversight, multi-entity portfolios) needed to transform a heavily manual, compliance-driven operation. They received thousands of documents monthly including bank statements, K-1s, W-2s, paystubs, tax forms, mortgage statements, brokerage reports, and entity documents. We built a complete Financial OS powered by custom backend, RAG for document classification, advanced AI extraction with validation, portfolio analytics engine, automated compliance workflows, and reporting automation.
Challenges
90% of documents were unstructured PDFs
Regulatory rules required data accuracy
No unified portfolio view for clients
Advisors manually created summaries
Quarterly reporting took weeks
No standardized onboarding processes
What We Delivered
Full document classification engine (K-1, 1040, W-2, bank statements, brokerage)
Property-level OCR with confidence scoring
Extraction logic validated via custom rules (e.g., debt > assets triggers review)
Financial Computation Engine with net worth auto-calculation
Exposure analysis by sector, geography, risk
RAG-Powered Advisor Assistant for natural language queries
Automatic narrative generation for reports
PDF quarterly report generator with automated charts, tables, insights
Tech Stack
Custom backend, RAG document classification, OCR with confidence scoring, Portfolio analytics engine, Snowflake / Google BigQuery integration
Tags
Results
14 days → 3 hours
Quarterly Reporting Time
12 min → 45 sec
Document Processing
2.5×
Scale Without Hiring
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