Inspiration
Accounts Payable teams across industries struggle with manual invoice reconciliation, spending 40+ hours every month comparing invoices, purchase orders, and payment records. I’ve personally seen finance teams jumping between email, ERP, Excel sheets, and PDF viewers, often resulting in delays, payment errors, compliance risk, and vendor dissatisfaction.
What It Does
DocSamajh AI automates the entire Invoice → PO → Compliance reconciliation workflow:
- Extracts structured fields from invoices and purchase orders (line items, vendor info, totals, taxes)
- Performs automated 3-way matching with risk scoring
- Detects discrepancies like quantity mismatch, over-billing, wrong tax, or unauthorized items
- Supports batch processing for hundreds of documents
- Creates audit trails for finance and compliance teams
How We Built It
| Agent | Responsibilities |
|---|---|
| 📄 Document Processor Agent | ADE Parse & Extract → Structured JSON |
| 🤝 Reconciliation Specialist | 3-way matching, risk evaluation, discrepancy detection |
| 🛡 Compliance Auditor | GST/VAT/tax validation & policy checks |
| 📊 Audit Logger | Captures metadata, timestamps, confidence, user history |
Challenges We Ran Into
| Challenge | Solution |
|---|---|
| Wide variations in invoice layouts | ADE schema tuning + AI fuzzy matching |
| Long PDFs with multi-page line items | Page splitting + async parallel extraction |
| Compliance rules differ by country/company | Policy definition layer for custom rules |
| Speed vs Accuracy | Async pipelines + caching + validation guards |
| Enterprise-grade auditability | Metadata logs + CSV exports + traceable IDs |
Accomplishments That We're Proud Of
- 🚀 Built a production-ready, agentic AI platform capable of parsing, reconciling, and validating complex financial documents
- 📄 Achieved 98%+ extraction accuracy with LandingAI ADE on real-world invoice formats
What We Learned
- 🔍 Deep understanding of Accounts Payable workflows, invoice structure, POs, taxation, vendor data, line items, and compliance checks
- 🧠 Designing and orchestrating Agentic AI systems with reasoning, tool calling, and inter-agent communication
- 📝 Practical document intelligence using LandingAI ADE Parse + Extract APIs
- ⚙️ Robust backend development: async I/O, error handling, retries, metadata logging
- 🧾 Implementing reconciliation logic handling real-world complexities (rounding differences, tax mismatches, missing POs)
- 🧪 Measuring LLM confidence, risk scoring, and compliance scoring
- 📈 Designing AI with business ROI, adoption, and auditability in mind
What's Next for Marvix
| Feature | Description |
|---|---|
| 🔌 ERP Integrations | SAP, Oracle NetSuite, QuickBooks, Xero connectors |
| 🤖 Dispute Resolution Agent | Auto-generate vendor communication for mismatches |
| 🌍 Multi-Currency + Global Tax | GST, VAT, withholding tax, EU/US compliance rules |
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