How Does PRGX Use AI to Improve Audits and Compliance?
How Does PRGX Use AI to Improve Audits and Compliance?
PRGX applies AI across four key areas of the Source-to-Pay (S2P) process, the end-to-end workflow from supplier selection through invoice payment, to help finance, procurement, and audit teams recover lost profit, prevent overpayments, and improve contract compliance. Informed by 50+ years of domain expertise and $2.3 trillion in annual client spend analyzed, these solutions are built for large enterprises managing high transaction volumes across complex AP environments.
What Makes PRGX's AI Different from Standard Automation Tools?
Most AI tools apply generic machine learning to financial data. PRGX’s AI is different in three ways:
- It learns from a large amount of S2P data that PRGX generates annually, giving it pattern recognition that generic tools simply don't have.
- It is purpose-built for S2P, not adapted from a general-purpose AI model. It’s designed specifically around the error patterns, contract structures, and supplier communication workflows that finance and procurement teams deal with every day.
- It is backed by PRGX’s deep human expertise. Every AI solution combines machine analysis with human auditor validation, ensuring accuracy where it matters most.
PRGX applies purpose-built AI across four areas of the S2P lifecycle:
What Is an AI-Assisted Supplier Statement Audit?
A supplier statement audit is a systematic review of vendor-issued financial statements to identify credits, adjustments, and reversals not captured in invoice data alone.
Most organizations manually review only a small percentage of supplier statements, leaving a material portion of potential recovery unexamined.
PRGX automates this process using AI built into the Panoptic® Compliance Audit Platform, enabling audit teams to close that gap without adding headcount.
How It Works:
Human auditors or AI agents initiate statement requests to suppliers via email
Suppliers respond with statements and relevant financial documents, which are automatically collected and organized within Panoptic®
AI digitizes documents, extracts credits, and presents them in a human-ready review queue
Human auditors validate credits for accuracy and compliance before recovery
AI identifies discrepancies between the credits captured and the AP data
AI initiates supplier verification of the discrepancies identified
AI agents triage the supplier responses and prepare claims
In cases of no response, AI agents follow up. If suppliers ask questions, AI answers those based on various data sources at its disposal
In cases AI can’t complete a task reliably, the task is routed to expert human auditors
Key Benefits:
- Higher statement coverage without increasing manual effort
- AI automation combined with human validation for accuracy
- Surfaces patterns that help prevent future accounts payable (AP) errors
- Automation reduces the mundane work, allowing the expert auditors to focus on complex claims
What Is an AI-Powered Email Audit?
An email audit is the systematic analysis of supplier email communications to identify audit-relevant information, including promotional funding agreements, rebates, and pricing, that is exchanged between the retailers and their suppliers.
The information appears in both the email bodies and the attachments of the emails. PRGX’s purpose-built AI converts the unstructured data of emails into structured data by various claim concepts and makes it available to the auditors.
PRGX does this at scale for hundreds of millions of emails significantly reducing the audit effort by 30-40%.
How It Works:
AI analyzes historical email data and attachments, filtering out irrelevant communications automatically
Relevant emails are categorized into audit-specific concepts such as rebates, lump-sum agreements, and promotional scans
AI extracts key data points including dates, monetary amounts, and action items by claim concepts, and feeds them directly into audit tools
AI handles routine supplier communications and routes
Key Benefits:
- 30-40% reduction in email volume requiring human review (PRGX Operational Data)
- Structured data output feeds directly into downstream audit workflows
- Converts a manual, resource-intensive process into a scalable operation
What Is PRGX Contract Insights?
PRGX Contract Insights is an AI-powered contract intelligence platform purpose-built to help procurement and audit teams analyze supplier contracts for compliance, pricing accuracy, and recovery opportunities.
Non-compliant supplier spend adds 12-18% in extra cost for the average enterprise, equivalent to $180 million for every $1 billion of managed spend (Ardent Partners).
How It Works:
Contract documents are uploaded into client-supplier folders and automatically detected and processed
AI deduplicates contracts, connects the contract documents in a hierarchy, extracts over 100 clause types, and categorizes the clauses by spend categories automatically.
Financial tables including pricing and discounts are pulled directly from contract documents
AI scores recovery opportunities and creates a prioritized auditor queue based on supplier spend and contract clauses
Key Benefits:
- Automatically extracts over 100 clause types, while preserving the clause change history, fully searchable and filterable for compliance review in a structured format
- Eliminates time wasted analyzing duplicate or outdated contract versions
- Prioritizes audit focus on highest-value recovery opportunities through AI-driven opportunity scoring
What Is AI-Powered Overpayment Prevention?
Overpayment prevention is the practice of identifying and intercepting erroneous or duplicate payments before they are processed, as opposed to recovering them after the fact through an audit.
PRGX Overpayment Prevention uses AI to score and flag potential overpayments across an organization’s accounts payable (AP) systems, including multiple enterprise resource planning (ERP) platforms, before payment is executed.
How It Works:
PRGX connects to existing ERP and AP system data with no system overhaul required
Proprietary AI analyzes and assigns probability scores to every invoice group across all suppliers and systems before payment execution
AP teams review flagged groups, confirm or dismiss, and tag root causes — the system learns from every decision
AP teams take corrective action directly within their own ERP, or direct integration with PRGX is available
Key Benefits:
- Cross-ERP duplicate detection that native AP systems cannot provide
- AI probability scoring significantly reduces false positive rates that plague competing tools
- SOC 2 compliant and ISO 27001 certified, meeting enterprise security requirements
Meet the Experts Behind PRGX's Purpose-Built AI
PRGX AI is built and guided by a team of specialists who combine deep technical expertise with decades of recovery audit experience. Every solution is informed by people who understand both how AI works and how S2P actually works in practice.
Amit Dingare
Chief AI Officer, PRGX
Amit leads PRGX's AI strategy and product development, overseeing the proprietary technology that powers Contract Insights, Overpayment Prevention, and the Panoptic® Compliance Audit Platform. He brings deep expertise in applying AI to Source-to-Pay workflows at enterprise scale.
Gautam Moorthi
Director of AI, PRGX
Gautam leads the development and refinement of PRGX's AI models, translating decades of recovery audit expertise into machine intelligence that finds what generic tools miss. He specializes in building purpose-built AI systems trained on the specific data patterns of finance and procurement environments.
Paul Brooks
Global UX Lead, PRGX
Paul leads the user experience design of PRGX's AI-powered solutions, ensuring that complex audit and compliance data is presented in a way that is clear, actionable, and built around how finance and procurement teams actually work. His focus is on making purpose-built AI accessible and intuitive for the people who rely on it every day.
Upendra Sharma
Product Manager, PRGX
Upendra focuses on the development of AI-powered statement audit and recovery solutions, working at the intersection of automation and auditor expertise. He brings hands-on experience building AI workflows that improve speed, scale, and accuracy across high-volume accounts payable environments.
Ready to See What Purpose-Built AI Uncovers?
Resources
Frequently Asked Questions
Why don't standard AP systems catch statement discrepancies?
Vendor statements are complex non-standard forms of financial data. Credits and adjustments that appear on supplier statements often go unmatched without a dedicated audit process. Significant leakage opportunities can be identified by performing statement audit that standard AP systems don’t perform.
How much can a statement audit recover?
Recovery amounts vary by organization size and transaction volume. PRGX clients have recovered hundreds of thousands to millions of dollars through statement audit programs.
What types of audit information are typically found in supplier emails?
Supplier emails frequently contain evidence of promotional agreements, credit notes, rebate confirmations, and pricing adjustments that are not reflected in invoice data. These communications can be critical to substantiating recovery claims.
Does automated supplier communication replace human auditors?
No. PRGX AI handles routine inquiries and generates initial responses, but human auditors remain responsible for complex claim decisions and relationship management.
How does AI extract clauses from contracts?
PRGX leverages years of auditor annotated data to fine tune Small Language Models (SLMs) to identify and classify over 100 clause types within contract documents, including unstructured text.
How does opportunity scoring work?
PRGX AI marries the supplier spend with 32 contractual clauses in understanding the recovery opportunities from the contracts. Historically, Contract Compliance used supplier spend as the only signal in determining which contracts to audit for compliance, however contractual clauses enhance this signal and improve the yield of the contract compliance audits significantly
What is the difference between overpayment prevention and a recovery audit?
A recovery audit identifies and recovers overpayments from historical transactions after payment has been made. Overpayment prevention intercepts erroneous payments before they are processed. The two approaches work best together.
Can PRGX Overpayment Prevention work across multiple ERP systems?
Yes. PRGX connects to multiple ERP and AP platforms simultaneously, enabling cross-system duplicate detection that individual ERP systems cannot perform independently.