NAGA LIMITED

House of Naga - Empowering Lives

Dindigul, Tamil Nadu, India

P2P Payment Automation

AI-Powered Document Validation

February 2026

Confidential

Prepared for

Mr. Anandh Giri

SAP Specialist

Prepared by

Trinesis Technologies Pvt. Ltd.

1 Executive Summary

Naga Limited processes approximately 110 payment documents daily across its procurement operations, with each document requiring manual validation against multiple sources including vendor invoices, purchase orders, MIGO receipts, and weighment slips. This proposal presents an AI-powered document validation solution that integrates seamlessly with your existing SAP infrastructure and custom applications (Purchase Pro, Gate Pro) to automate these manual checks.

110+
Documents Validated Daily
7
Manual Validation Points
3
Document Types per Payment
45
Days Payment Terms (Z045)

🎯 Core Objective

Eliminate manual document validation in the payment process by implementing AI-powered automation that reads, extracts, compares, and validates documents against SAP data - reducing processing time from minutes to seconds per document while improving accuracy.

2 Current Challenges

⚠ Manual Document Validation

  • Volume: ~110 documents validated per day
  • Time: 5-10 minutes per document (estimated)
  • Documents: Vendor Invoice, PO, FA Document
  • Risk: Human errors, delays, inconsistency

✓ AI-Powered Automation

  • Speed: <1 minute per document
  • Accuracy: 99%+ validation accuracy
  • Coverage: All document types automated
  • Audit: Complete validation trail

Identified Manual Validation Points

# Validation Point Documents Involved Current Method
1 Invoice Amount vs MIRO Amount Vendor Invoice, MIRO Manual comparison
2 PO Number Verification PO, Invoice Manual check
3 PO Quantity vs Invoice Quantity PO, Invoice, GRN Manual comparison
4 Total Value with GST Invoice, PO Manual calculation
5 FA Document Validation FA Doc, Invoice Manual comparison
6 Weighbridge Copy Verification Weighment Slip, GRN Manual weight check
7 E-Invoice/E-Way Bill E-Invoice, Invoice Manual verification

3 Proposed Solution

We propose an AI Document Validation Platform that integrates with your SAP system to automate the payment verification process. The solution follows your stated requirement: "Pull data from SAP, apply intelligence, push back to SAP."

Integration Architecture

📊 SAP System
Read PO, MIGO, MIRO
→
🤖 AI Validation
OCR + Rules Engine
→
📋 Attachments
Invoice, Weighment
→
📊 SAP System
Update Status

How It Works

1
Fetch Data

Pull MIRO, PO, MIGO data from SAP via RFC/API

2
Extract Documents

OCR scan attached invoices, weighment slips

3
AI Validation

Compare extracted data against SAP records

4
Flag Exceptions

Highlight mismatches for review

5
Update SAP

Push validation status back to SAP

Key Capabilities

📄 Document OCR

  • Vendor Invoices: Amount, quantities, GST
  • Weighment Slips: Net weight, vehicle
  • E-Invoice: IRN, QR code validation
  • E-Way Bill: EWB number, validity

⚙ Validation Rules

  • Amount Match: Invoice vs MIRO (tolerance)
  • Quantity Match: PO vs GRN vs Invoice
  • Vendor Match: GSTIN verification
  • Due Date: Payment terms compliance

📈 Dashboard & Reports

  • Real-time: Validation status dashboard
  • Exceptions: Mismatch queue for review
  • Analytics: Processing metrics, trends
  • Audit Trail: Complete validation history

4 SAP Integration Scope

Based on our discovery call, we have mapped your SAP landscape and identified the following integration points:

📊 Data Read (Inbound)

  • MIRO: Invoice amounts, posting dates
  • MIGO: GRN quantities, receipt dates
  • PO: Order values, line items, vendors
  • Attachments: PDF documents from DMS
  • Vendor Master: Bank details, GSTIN

📋 Data Write (Outbound)

  • Validation Status: Pass/Fail flag
  • Mismatch Details: Exception reasons
  • Timestamps: Validation date/time
  • Audit Log: Who validated, when

🔒 Environment Details

  • Version: SAP Logon 770
  • Environments: Dev, QA, Prod, Azure PRD
  • Client: 900
  • Integration: RFC/BAPI or OData APIs

🔗 Custom Table Identified

[Custom Z-Table] - FG Sales Details table with fields including Rec Net Weight, MIGO date, MIGO no, MIGO Status, Vendor, Invoice Number, Loading Weight, Empty Weight. This table will be key for data extraction and validation.

5 User Roles & Access

👤
Finance Team
  • View validation results
  • Handle exceptions
  • Approve overrides
  • Access audit trail
👥
Payable Supervisor
  • Review mismatch queue
  • Escalate issues
  • Monitor SLAs
  • Generate reports
💼
Payable Head
  • Dashboard overview
  • Approval for exceptions
  • Policy configuration
  • Analytics access
⚙
IT Admin
  • SAP integration config
  • User management
  • Rule configuration
  • System monitoring

6 Implementation Roadmap

PHASE 1 THIS PROPOSAL

Payment Validation Automation

  • SAP Integration (Read/Write)
  • Document OCR Engine
  • Validation Rules Engine
  • Exception Dashboard
  • Audit Trail & Reports
PHASE 2

Extended Automation

  • Material Code Mapping AI
  • Auto MIGO Quantity Entry
  • Quotation Comparison
  • Vendor Invoice OCR at Gate
PHASE 3

FluxAI Analytics

  • Predictive Maintenance
  • Quality Forecasting
  • OEE Optimization
  • AI Chat Interface

Phase 1 Timeline

Week 1-2
Discovery & Setup

SAP access, environment setup, requirements finalization

Week 3-6
Core Development

OCR engine, validation rules, SAP integration

Week 7-8
UAT & Training

User testing, rule tuning, team training

Week 9-10
Go-Live & Support

Production deployment, hypercare support

7 Expected Benefits

90%
Reduction in Manual Effort
<1 min
Per Document Processing
99%+
Validation Accuracy
100%
Audit Trail Coverage

💰 Cost Savings

  • Reduce FTE allocation for validation
  • Eliminate payment errors & penalties
  • Faster payment cycle = better vendor terms
  • Avoid duplicate payments

⚡ Efficiency Gains

  • Process 110+ docs in minutes vs hours
  • Staff focus on exceptions only
  • Faster month-end closing
  • Real-time visibility into pending payments

🛡 Compliance & Control

  • Complete audit trail for all validations
  • Consistent validation rules applied
  • GST compliance verification
  • Exception reporting for management

8 Terms & Conditions

📋 Scope Inclusions

  • SAP integration for MIRO, MIGO, PO data read/write
  • Document OCR for vendor invoices, weighment slips, e-invoices
  • Validation rules engine with configurable thresholds
  • Exception dashboard and mismatch queue
  • User management with role-based access
  • Audit trail and compliance reports
  • Training for up to 10 users
  • 30-day hypercare support post go-live

✗ Scope Exclusions

  • Changes to existing SAP workflows or configurations
  • Hardware procurement (servers, network equipment)
  • Third-party software licenses (SAP, database)
  • Integration with systems outside SAP ecosystem
  • Custom report development beyond standard templates

👤 Client Responsibilities

  • Provide SAP development access (NSY environment)
  • Share sample documents (invoices, weighment slips)
  • Designate SPOC for requirements clarification
  • Provide server/cloud infrastructure for deployment
  • UAT participation and sign-off
  • Timely feedback during development sprints

📅 Validity

  • This proposal is valid for 30 days from the date of issue
  • Pricing subject to change based on scope modifications
  • Timeline assumes prompt client responses and access

9 Next Steps

1
Internal Review

Team validates technical approach with Sivasangari & Karthik

2
Commercial Discussion

Investment proposal shared after technical sign-off

3
POC/Pilot

Optional: Validate with subset of documents

4
Project Kickoff

Begin Phase 1 implementation

📞 Ready to Proceed?

Contact us to schedule the next discussion or request a POC demonstration with your actual documents.

Avinash Mallik | CEO, Trinesis Technologies | avinash@trinesis.com | +91-7030999223

🔒

Trinesis Technologies

Confidential Proposal