Securing and Stabilizing a Business-Critical Procure-to-Pay Platform
Product Engineering
The
Overview
Wishtree Technologies partnered with Coupa, a leader in Business Spend Management, to execute a mission-critical modernization of a legacy procure-to-pay (P2P) platform. The project transformed a high-risk, unstable system into a secure, stable, and maintainable foundation, ensuring business continuity and future scalability.
Problem
Statement
Coupa faced severe operational and security risks with a legacy P2P platform that was unstable, unsupported, and poorly documented. The core challenges included:
- Critical Security Vulnerabilities
- Technical Obsolescence
- Severe Performance Degradation
- High Release Risk & Instability
- Knowledge Black Hole
Highlights
100%
Vulnerability remediation
75%
Reduction in production incidents
90%
Faster deployment cycles
97%
Performance improvement
60%
Reduction in developer onboarding time
Zero security breaches post-modernization
Agentic AI refers to autonomous, goal-driven software agents that act with
limited human input to optimize specific goals like pricing, forecast demand,
and detect fraud in real time.
About Client
Coupa is a leader in Business Spend Management (BSM), providing a cloud-based platform for enterprises to manage their procurement, invoicing, and spending processes. The client’s core procure-to-pay (P2P) platform, acquired through Aquiire, is a business-critical system essential for customer operations and revenue.
- Running on an unsupported version of Spring Boot (1.4.0) with numerous known vulnerabilities.
- A frontend dependent on the deprecated Bower package manager, making updates impossible.
- Unmanaged database growth and API queries taking over 3 minutes, crippling user experience.
- Zero end-to-end test coverage turned every release into a potential production crisis.
- A complete lack of documentation forced the team to reverse-engineer the entire application.
- Executed a meticulous, 3-stage upgrade path resolving over 30 critical dependency vulnerabilities.
- Refactored and migrated the entire frontend build process from Bower to a modern npm-based system.
- Automated database maintenance via Azure Runbooks to prevent performance degradation.
- Instituted a robust Selenium-based E2E test automation suite to guarantee stability with every release.
- Authored exhaustive Confluence documentation covering the entire development, build, and deployment lifecycle.
Wishtree’s Agentic AI Logistics Orchestrator was deployed as an autonomous control tower, transforming shipment management from a reactive task to a proactive, self-correcting process. The AI system operates through a continuous loop:
- Ingests live data streams from SAP ERP, TMS, GPS, and direct carrier APIs for a real-time view of shipment status and capacity.
- Dynamically replans shipments by analyzing cost, lead time, and SLA terms to select the optimal carrier and route.
- Autonomously executes decisions by booking alternate carriers, reprioritizing loads, and proactively notifying customers of revised ETAs.
- Collaborates with human planners only for complex exceptions requiring nuanced judgment, such as regulatory or hazardous shipments
Core Features
Full-Stack Security Hardening
Modernized Build & Dependency Management
Automated Database Performance Management
End-to-End Test Automation Suite
Complete System Documentation
Impact
- 100% vulnerability remediation
- 75% reduction in production incidents
- 90% faster deployment cycles
- 97% performance improvement
- 60% reduction in developer onboarding time
- Zero security breaches post-modernization
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