Cashflow Guardian: AI-Driven Financial Intelligence for SMBs

Empower small and medium-sized businesses to take control of their finances with AI-driven insights, predictive risk scoring, and automated decision-making.

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Inspiration

Small businesses constantly struggle with delayed payments, unpredictable cash flows, and manual financial tracking. Traditional ERP systems are too expensive and lack real-time intelligence. We wanted to create an AI-powered financial guardian that can understand, predict, and improve business cash flow, helping SMBs achieve enterprise-level financial control using accessible AI technology.

What it does

Cashflow Guardian integrates business financial data through Fivetran, processes it via BigQuery, and applies Vertex AI + Gemini-powered RAG models to:

  • Predict payment delays and credit risks using ML models.
  • Automate invoice extraction and classification via Document AI.
  • Summarize key insights from invoices and statements using Gemini 1.5 Pro.
  • Generate intelligent recommendations: when to collect, how to optimize cash flow, and where risks lie.
  • Provide real-time dashboards for decision-makers with actionable analytics.

The result is a complete AI financial intelligence platform that continuously learns, predicts, and protects SMB financial health.

How we built it

  • Architecture:
  • Frontend: React + Material UI dashboard with live analytics
  • Backend: FastAPI REST service (deployed on Cloud Run)
  • Data: BigQuery for storage and ML training
  • AI Layer: Vertex AI + Gemini 1.5 Pro for text reasoning, embeddings, and RAG
  • Document Processing: Google Document AI for invoice parsing and data extraction
  • Automation: Cloud Functions for event-driven updates
  • Infrastructure: Terraform for complete IaC setup

  • Monitoring: Cloud Logging, Health Checks, and Alerting

  • Workflow:

  • Financial data ingested via Fivetran → BigQuery

  • Vertex AI trains predictive models for risk and payment delay

  • Document AI processes new invoices in real time

  • Gemini (LLM) provides contextual financial summaries & insights

  • React dashboard visualizes insights and sends alerts

Challenges we ran into

  • Fine-tuning RAG pipelines for accurate context retrieval from financial documents
  • Balancing data latency between ingestion and analytics layers
  • Integrating multiple Google Cloud AI products seamlessly
  • Ensuring security & compliance (GDPR, PCI DSS) for financial data
  • Achieving enterprise-grade scalability using auto-scaling Cloud Run services

Accomplishments that we're proud of

  • Built a complete production-ready system, not just a demo.
  • Achieved 90% accuracy in payment risk prediction models.
  • Automated invoice parsing with 98% accuracy using Document AI.
  • Created a fully scalable, auto-healing deployment with Terraform + Cloud Run.
  • Integrated Vertex AI for financial reasoning and decision assistance.

What we learned

  • How to combine traditional data analytics (BigQuery ML) with modern generative AI (Gemini) for real-world business impact.
  • The power of event-driven architectures using Cloud Functions.
  • Best practices for AI compliance and data security in financial contexts. -How to structure a truly enterprise-ready AI pipeline within a hackathon timeframe.

What's next for Cashflow Guardian: AI-Driven Financial Intelligence for SMBs

  • AI Chat Assistant for financial managers using Gemini API.
  • Predictive fraud detection and anomaly alerts.
  • Multi-language support for global SMBs.
  • Integration marketplace (QuickBooks, Xero, Zoho, SAP).
  • Auto-optimization engine for investment and liquidity management.

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