In the Age of AI, Recovery Audits Become ‘Secret Weapon’ for Tech-Savvy CFO’s 

Financial Reporting | March 30, 2026

In the Age of AI, Recovery Audits Become ‘Secret Weapon’ for Tech-Savvy CFO’s 

Chief financial officers are doubling down on digital transformation, agentic AI, and data quality as they work to strengthen financial operations and reduce risk.

In 2026, chief financial officers are doubling down on digital transformation, agentic AI, and data quality as they work to strengthen financial operations and reduce risk. But, as their teams automate more processes—from invoice matching to forecasting – many CFOs are finding a “secret weapon” in a proven finance tool: Accounts Payable (AP) Recovery Audits.

“No longer the slow, retrospective reviews of the past, the new class of AP Recovery Audits by CPRS are helping corporate teams leverage current and future finance trends, creating operational alignment and financial insights,” said Dan Berg, President of CPRS. “CPRS is transforming AP Recovery Audits, using Machine Learning (ML) and AI influenced technology to create a forward-thinking, technology-driven practice that delivers real financial impact.”

Today’s AP Recovery Audits by CPRS sit at the intersection of accounting, operations, vendor management and data integrity. They reveal hidden inconsistencies, expose systemic gaps, return lost dollars to the balance sheet, and sharpen the internal controls that keep organizations financially healthy.

“Tech-savvy CFOs are using our self-funded Recovery Audits to address today’s top financial trends, including the move to integrate AI agents and the need for improved data quality,” Berg said. “All while recovering Silent Costs in their AP processes.”

Embedding Agentic AI

Corporate finance teams are moving beyond basic chatbots to using agentic AI for forecasting and planning, and to automate tasks like close and reporting. While AI and automated invoice matching reduce simple clerical errors, new types of risk are introduced. Everything from bot-logic errors to duplicate payments across multi-systems to incorrect supplier master data can impact the implementation of agentic AI.

“When automation fails, it fails consistently and invisibly, often across thousands of transactions—making post-pay analytics and recovery audits more valuable, not less,” Berg said.

Improving Data Quality

Data quality is seen as critical to successful AI adoption, harking back to the famous IBM quote, “Garbage In, Garbage Out.” Finance tech company Trintech states that AI is only as good as the data it’s trained on. “In finance, that data is often fragmented across ERPs, subledgers, spreadsheets, and operational systems,” said a recent blog post.

CPRS uses its advanced technology stack to recognize patterns that point to deeper operational issues, highlight areas where duplicate payments are most likely to occur, and eliminate false positives.

“We are using the latest technology to speed up analysis and push recovery audits to become forward-looking and continuous,” Berg concluded.

Visit CPRS to download a new White Paper educating finance leaders on this new class of AP Recovery Audits and how they have become a Secret Weapon for tech-savvy CFOs.

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