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AI Finance Dashboard Automation

Eliminating manual reporting for a financial services firm.

Client

Mid-market financial services firm

Industry

Financial Services

Duration

12 weeks

70%
Reduction in reporting workload
28h
Saved per week
99.8%
Data accuracy rate
12wk
Delivery timeline
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The Problem

The client's finance team spent 40+ hours per week manually compiling reports from 12 disparate data sources — a process error-prone and increasingly unsustainable as the business scaled.

  • 12 disconnected data sources requiring manual export and reconciliation
  • Reports taking 2–3 business days to prepare
  • Frequent data errors leading to board-level restatements
  • No self-service analytics capability for business units
S

Our Solution

We built an AI-powered finance intelligence platform with automated data ingestion, LLM-driven natural language querying, and a self-updating dashboard generator.

  • Unified data pipeline ingesting from all 12 sources via API and automated ETL
  • LLM integration with RAG architecture for natural language financial queries
  • Automated report generation with configurable templates and scheduling
  • Role-based dashboard access for CFO, finance team, and business unit leads
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The Result

The platform went live in week 12 and immediately transformed the finance team's workflow — from 40+ hours per week to under 12, with higher accuracy and real-time data freshness.

Technology Stack

PythonLangChainOpenAIPostgreSQLFastAPINext.jsPinecone

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