In complex payment and expense ecosystems, reconciliation is more than a back-office process. It is the mechanism that connects transactions, financial controls and reporting with end-user experience. When reconciliation slows down, the business suffers from delayed visibility into spend, increasing operational overhead and limited ability to scale efficiently.
A leading payments and expense management organization faced this challenge. As digital invoicing, virtual payments and travel-related transactions continued to grow, reconciliation became increasingly complex. Data was spread across multiple systems and invoice formats, while manual interventions slowed processing cycles and made it difficult to achieve real-time operational visibility into status and stakeholder action. The organization needed a way to remove these bottlenecks while creating a foundation capable of supporting future growth, stronger governance and greater operational agility.
To address these challenges, the organization partnered with Persistent to transform its data ecosystem with Microsoft Azure and Databricks.
Unifying Data Foundation for Faster Financial Operations
More than a data platform, solving reconciliation bottlenecks at scale requires the ability to build trusted, governed and AI-ready data foundations that can support mission-critical business operations.
Persistent’s partnership with Databricks is built on this principle. While many partners focus primarily on technical implementation, Persistent differentiates itself through its focus on data sanity, governance and Responsible AI frameworks. This is critical in enterprise environments, where many AI and data initiatives fail to move beyond pilot stages due to gaps in data quality, governance and operational trust.
Persistent designed and implemented a secure, Azure-native platform that consolidated data from multiple sources into a single governed environment. Modern ingestion pipelines streamlined the movement of data across the organization, while a modernized access layer improved governance, security and user control. The result was a trusted foundation that eliminated the inefficiencies created by fragmented systems and disconnected data.
With a unified data platform in place, Persistent introduced AI and machine learning capabilities to automate reconciliation workflows. Processes that previously relied on significant manual effort were transformed into intelligent, automated workflows capable of handling increasing transaction volumes with greater speed and accuracy.
The platform also enabled advanced analytics and reporting capabilities, providing richer visibility into spending patterns and operational performance. To further democratise access to information, Persistent developed a GenAI-powered Q&A experience that allowed business users to interact with enterprise data through natural language and obtain actionable insights more quickly.
From Bottleneck into Business Advantage
What began as an initiative to address reconciliation inefficiencies evolved into a strategic data transformation. By combining Databricks, Microsoft Azure and Persistent’s expertise in data engineering, AI and platform modernization, the organization established a scalable foundation for operational efficiency, business intelligence and future innovation.
Today, the platform serves as a critical business asset that provides the speed, visibility and intelligence required to manage complex payment operations while supporting continued global growth.
A time-intensive process became an efficient and scalable workflow, enabling faster financial operations, reducing manual effort and allowing teams to focus on higher-value activities rather than routine processing. AI and machine learning-driven automation reduced reconciliation processing time by 80%, accelerating a critical business function and removing a major operational constraint.
Beyond reconciliation, the cloud-native architecture reduced operating costs by approximately 20% while improving platform resilience and performance. Enhanced visibility into spend, stronger fraud controls and a unified invoice management experience improved governance and operational transparency across the business.
The platform also provided the flexibility required to support expansion into APAC and LATAM markets by accommodating new regional invoice formats and business requirements without introducing additional complexity.
