Procure to Pay (P2P) – Invoice submission to Accounting
- Customer
- LTIMindtree
- Project manager on the customer side
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- Year of project completion
- 2025
- Project timeline
- March, 2025 - September, 2025
- Project scope
- 15000 man-hours
- Goals
- The primary goal of LTIMindtree’s invoice validation project is to automate and streamline the accounts payable workflow by integrating AI-driven validation across Supplier360, iProcure, and SAP systems. The project targets a significant reduction in Days Payment Outstanding (DPO) by enabling faster, more accurate invoice processing while minimizing manual intervention. It aims to validate invoices against 19 checkpoints, flag discrepancies such as missing LUT certificates, and ensure compliance with taxation norms. By leveraging GenAI and Azure Document Intelligence, the solution enhances reliability, reduces human error, and supports real-time vendor feedback, ultimately improving operational efficiency, cost control, and audit readiness.
- Project Results
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Reduced manual intervention, helped 50% productivity boost and faster exception resolution. Shorter cycle times, reduced leakage, and improved supplier experienceEnhanced Supplier Experience: Shortens cycle times, reduces leakage, and offers a transparent, auditable process.
The uniqueness of the project
The uniqueness of LTIMindtree’s invoice validation project lies in its AI-powered, multi-system integration approach that transforms a traditionally manual and error-prone process into a resilient, automated workflow. Unlike conventional solutions that rely on static rule-based checks, this project leverages a GenAI engine capable of validating invoices across 19 checkpoints spanning Supplier360, iProcure, and SAP systems. The AI agent operates independently of the S360 platform, ensuring zero overhead while handling diverse invoice formats and flagging anomalies—such as vendors uploading unrelated PDFs instead of mandatory LUT certificates—with greater accuracy than manual reviews.
What sets this initiative apart is its ability to enhance operational efficiency and compliance simultaneously. By enabling real-time validation, proactive alerts, and automated vendor notifications, the system reduces Days Payment Outstanding (DPO), prevents erroneous disbursements, and supports scalable deployment across geographies. The project also introduces persona-based reporting and predictive expiry alerts for rate cards and POs, ensuring timely interventions and minimizing billing delays. This fusion of AI, finance operations, and user-centric design positions the invoice validation project as a strategic differentiator in LTIMindtree’s digital transformation journey.
- Used software
- Azure Open AI, SAP Fiori & ABAP, SAP BTP, .net, Java with Boomi as an integration layer
- Difficulty of implementation
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Implementing the invoice validation project at LTIMindtree has been challenging due to fragmented systems, manual reconciliation processes, and compliance constraints. The current workflow involves validating invoices against multiple checkpoints across Supplier360, iProcure, and SAP, often requiring manual intervention when vendors submit incorrect or unrelated documents. AI automation was introduced to streamline validations, but scaling it beyond single PO line items and India-specific invoices remains a hurdle. The project also faced delays due to mandatory approvals from CISO and DPO before onboarding Microsoft’s development team.
Operationally, the lack of proactive alerts for rate card and PO expiries has led to frequent billing delays and manual rework. Timesheet mismatches, rounding errors, and rejected entries further complicate invoice generation, especially when customer systems differ in format and approval logic. The team has explored AI-driven reconciliation and predictive alerts, but integration with external systems and contractual limitations continue to slow progress. Despite these challenges, the project is moving forward with design thinking workshops, stakeholder alignment, and phased automation to improve accuracy, reduce manual effort, and enhance compliance.
- Project Description
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The India Procure-to-Pay (P2P) Automation Project is now live, transforming vendor invoice processing into a fully automated, AI-driven workflow. This initiative eliminates manual touchpoints across invoice receipt, validations, GRN/SRN capture, three-way matching, and accounting entries—accelerating financial close and strengthening compliance.Impact at Scale:
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6,000+ vendors and 125,000+ invoices annually – Globally
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20+ custom validations embedded for accuracy and control
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50%+ productivity boost and faster exception resolution
This project delivers a resilient, auditable P2P process that elevates operational efficiency and positions Finance for future scalability.
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- Project geography
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The invoice validation project at LTIMindtree is currently focused on automating validations for India-based PO invoices mapped to single PO line items, which covers approximately 50% of the global invoice volume. This limited scope reflects the project's initial geographical footprint, with plans underway to expand coverage to other invoice categories and regions. The validations span across Supplier360, iProcure, and SAP systems, and are designed to handle diverse invoice formats and compliance requirements, including LUT certificates for exports to countries outside India and SEZs.
- Additional presentations:
- Global CIO POTY - P2P.pdf