AI vs Legacy AR: Why the Top 1% Enterprises are switching to AI-Driven AR

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Introduction

Most finance teams are stuck managing tedious exceptions, chasing remittance data, and coordinating across fragmented systems. But that’s changing fast. Agentic AI – once a buzzword – is now powering real transformation in the accounts receivable department.

For leaders looking to improve cash flow, reduce DSO, and actually empower analysts instead of just automating their tasks, this shift isn’t just timely. It’s essential. In this blog, we’ll explore what Agentic AI really means for the  finance department, and how AR teams are using it to move from reactive workflows to autonomous, intelligent operations.

What Is Agentic AI In AR?

Agentic AI refers to a network of intelligent software agents – some fully automated, others designed to assist humans – all coordinated under a central orchestration layer. Unlike traditional automation that handles one job at a time, Agentic AI combines reasoning, contextual understanding, and action to manage entire workflows. It mimics how a skilled analyst would think, identify exceptions, resolve issues, and make decisions – at scale. Instead of just automating, it’s less about following a rigid script and more about adaptive problem-solving.

For instance, in the Cash Application process, you don’t just want to receive a file. You want the system to automatically pull remittances from emails and portals, match them to invoices across various parameters, handle complex exceptions, and post everything to the ERP, all while identifying deductions and flagging discrepancies. Agentic AI aims to orchestrate all of that seamlessly.

The Evolving Challenges of Accounts Receivable

With growing complexities in customer behavior, payment formats, and business models, AR teams face mounting pressures to do more with less—while still ensuring healthy cash flow. This environment exposes several operational challenges across core AR functions:

Cumbersome cash application: Teams struggle with matching payments to invoices across multiple formats, remittance sources, and customer behaviors—leading to delayed posting and reconciliation.

Inefficient collections workflows: Analysts spend excessive time toggling between spreadsheets, ERPs, emails, and call logs to prioritize follow-ups and manage dunning communications.

Reactive dispute handling: Dispute and deduction management often starts only after a payment issue surfaces, resulting in delayed resolutions and prolonged outstanding receivables.

Fragmented automation: Most AR tools automate individual tasks—like extracting remittances or sending reminders—but lack orchestration across the entire receivables process.

Underutilized analyst capacity: Skilled AR teams get tied up in manual exception handling and routine follow-ups instead of focusing on strategic activities that could improve cash flow.

How Does Agentic AI Transform AR Functions?

Let’s explore how Agentic AI reshapes specific AR functions and changes the scope of AR automation from simple, rule-based tasks to orchestrated, intelligent workflows that mirror how skilled analysts think and act.

1. Cash Application: From Data Entry to Smart Reconciliation

Cash application is one of the most resource-intensive areas in AR. Analysts often spend hours reconciling bank statements, parsing remittance details, and struggling to match payments to the correct invoices. The volume of formats, customer behavior, and payment methods only adds to the complexity. 

That’s where agentic AI in cash application changes the game. Instead of tackling one piece at a time, it orchestrates a full sequence of specialized agents that work in parallel – and in sync – to automate every part of the process.

Here’s how:

  • Remittance Capture Agents pull remittance data from emails, attachments, AP portals, and even check stubs with a high degree of accuracy.
  • Linking & Matching Agents match remittance data to invoices using multiple identifiers like PO numbers or sales order references – even for complex multi-invoice payments.
  • The Bank Statement Download Agent automatically receives and extracts payment and remittance information from various bank statement formats, including lockbox files.
     
  • The ERP Payment Posting Agent automates the posting of payments and invoice clearance by transmitting enriched payment data to ERPs

With these agents working together, businesses can achieve 90%+ automation in payment processing and free analysts to handle truly value-adding exceptions.

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2. Collections: Smarter, More Predictive Outreach

Collections aren’t just about reminders—it’s about strategy, timing, and risk management. Many teams struggle to prioritize which accounts to pursue, when to follow up, and how to personalize outreach across hundreds of customers. Analysts often get bogged down toggling between spreadsheets, ERP systems, email inboxes, and phone logs. The result? Missed opportunities and stretched resources.

That’s where the role of agentic AI in AR becomes like an intelligent collections strategist. It identifies the most impactful actions and executes them through specialized agents—freeing up human teams to focus on relationships and resolutions.

Here’s how:

  • Worklist Prioritization Agent uses ML to score accounts based on risk, payment patterns, and collector capacity – so teams focus on what matters.
  • Email & Dunning Agents generate personalized messages and send them at the best times. Assisted inbox agents categorize replies and draft responses.
  • In-App Calling Agents provide pre-call intelligence, one-click dialing, and auto-log conversations and follow‑ups.


Together, these agents transform collections from a reactive, manual chase into a strategic, data-driven process—reducing past-due balances while freeing collectors to focus on customer relationships.

3. Disputes: Proactive Prevention and Resolution

Disputes often lie at the heart of delayed payments—but they need dedicated attention. Agentic AI doesn’t just react to disputes; it proactively identifies potential issues and intervenes before they escalate. Modern deductions solutions powered by AI agents can detect anomalies and short‑pay patterns early, so teams stay ahead rather than playing catch‑up.

Here’s how:

  • Dispute Resolution Agents pre-validate POs, match backup documentation, classify issues, and route to the right teams—ensuring faster turnaround.
  • Past Due Analysis Agent offers a holistic view of each customer’s status and recommends optimal next steps—turning reactive follow-ups into strategic outreach.
  • Deduction & Anomaly Detection Agent analyzes remittance data and deduction codes, flags unusual short-pay patterns or recurring deduction types, and triggers workflows to gather documentation or escalate flagged cases .

By separating disputes and risk management into their own pillar, it becomes clear how these functions support both cash application and collections, while maintaining dedicated focus and specialized workflows.

4. Credit Management: From Manual Risk to Autonomous Monitoring

Credit is one of the most risk-intensive areas in finance. Analysts spend countless hours onboarding customers, reviewing financials, and approving credit limits—while constantly monitoring risk. With diverse data sources, manual workflows, and evolving risk indicators, the process is complex and time-consuming.

Credit management solution powered by agentic AI transforms this by orchestrating a suite of intelligent credit agents working together to streamline the full lifecycle:

Here’s how:

  • Credit Agency Integration Agent pulls reports from 35+ agencies and extracts 100+ data points—keeping risk assessments current and comprehensive.
  • Financial Statement Extraction Agent gathers financial statements from public sources or uploads—calculating ratios for robust credit scoring.
  • Credit Risk Scoring & Decisioning Agent uses AI models and configurable logic to auto-assign risk scores, suggest limits, and automatically approve low‑risk requests.

By shifting credit from manual assessments to AI-orchestrated, always-on monitoring, businesses can minimize bad debt, accelerate approvals, and empower analysts to concentrate on high-risk cases that truly need expert judgment.

5. EIPP: Frictionless Billing and Payment

Getting paid quickly doesn’t just depend on sending invoices. It’s about delivering them accurately, making it easy for customers to view them, and giving them a seamless way to pay. Unfortunately, many organizations still rely on manual delivery, disconnected portals, and clunky payment systems that slow things down and drive up costs.

HighRadius automated E-invoicing solution powered by Agentic AI brings cohesion to the entire billing and payment cycle. It ensures buyers receive invoices through the right channel, encourages portal adoption, and automates payment processing across multiple methods – all while syncing data back into the ERP.

Here’s how:

  • Invoice Delivery Agents send invoices through email, AP portals, and government platforms, tracking delivery and ensuring compliance.
  • Buyer Portal Adoption Agent (Assisted) drives portal usage with automated outreach campaigns and engagement tracking.
  • Payment Processing Agents manage digital payments across methods – including card tokenization, surcharge handling, and fee optimization.

This doesn’t just increase electronic payment adoption – it reduces billing friction, shortens DSO, and improves customer experience.

The Business Outcomes of Intelligent AR

Moving to an Agentic AI-led AR environment isn’t just about smarter tech—it’s about delivering hard business results that finance leaders can measure:

  • Reduce DSO: Faster invoice uploads, automated cash posting, and prioritized collections actions shrink the time it takes to convert sales into cash.
  • Cut past-due receivables : Machine learning-driven worklists and proactive dunning strategies target the right customers before invoices age.
  • Achieve 90-95% touchless cash application: Automated remittance capture, multi-parameter matching, and ERP posting eliminate manual reconciliation.
  • Slash dispute resolution times: AI agents pre-validate claims, assemble backup, and route cases so teams can close deductions quickly.
  • Drive higher e-payment adoption: Portal campaigns and intelligent nudges encourage customers to pay electronically, reducing check volumes and lockbox fees. 

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Why HighRadius Unified AR Automation Powered by Agentic AI Wins Over Legacy Automation?

Legacy AR automation tools often operate in silos—cash application, collections, and invoicing run on separate engines, with limited ability to “interact” to one another. As a result, AR teams experience more handoffs, duplicated work, and a frustrating lack of visibility across the Order-to-Cash process. HighRadius transform this with a unified, Agentic AI-powered approach that emphasizes orchestration.

At the core is the orchestration layer—a control tower that ensures agents across cash application, collections, and EIPP work together. A deduction identified during a cash application can immediately prompt a follow-up in collections. The same portal agent used for collections tasks can be reused for invoice uploads in EIPP. Learnings from disputes can directly inform collector worklists and communication strategies. It’s all coordinated, contextual, and automatic.

Even in exception-heavy areas, HighRadius’ Assisted Agents handle the complexity without losing the human touch. Here are a few examples: 

  • Collections Inbox Agent drafts contextual replies to customer emails based on prior interactions.
  • Dispute Management Agent assembles documentation and suggests routing, but analysts stay in control.
  • Adoption Campaign Agent analyzes customer behavior to suggest targeted portal or e-payment nudges.
  • Buyer Portal Adoption Agent:
    Schedules campaigns to drive customer registrations and payments, targets the right segments, sends reminders, and tracks results for merchant review.
  • Prioritized Credit Worklists
    Ranks customers by credit risk so analysts can focus on the highest-risk accounts, enabling proactive, streamlined credit management.

With fewer silos, smarter coordination, and AI that doesn’t just automate—but acts—HighRadius delivers more than automation. It delivers AR that runs itself, intelligently.

Loved by brands, trusted by analysts

HighRadius Named as a Leader in the 2024 Gartner® Magic Quadrant™ for Invoice-to-Cash Applications

Positioned highest for Ability to Execute and furthest for Completeness of Vision for the third year in a row. Gartner says, “Leaders execute well against their current vision and are well positioned for tomorrow”

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The Hackett Group® Recognizes HighRadius as a Digital World Class® Vendor

Explore why HighRadius has been a Digital World Class Vendor for order-to-cash automation software – two years in a row.

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HighRadius Named an IDC MarketScape Leader for the Second Time in a Row For AR Automation Software for Large and Midsized Businesses

HighRadius stands out as an IDC MarketScape Leader for AR Automation Software, serving both large and midsized businesses. The IDC report highlights HighRadius’ integration of machine learning across its AR products, enhancing payment matching, credit management, and cash forecasting capabilities.

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Forrester Recognizes HighRadius in The AR Invoice Automation Landscape Report, Q1 2023

Forrester acknowledges HighRadius’ significant contribution to the industry, particularly for large enterprises in North America and EMEA, reinforcing its position as the sole vendor that comprehensively meets the complex needs of this segment.

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1100+

Customers globally

3400+

Implementations

$18.9 T.

Transactions annually

37

Patents/ Pending

6

Continents

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Resources

Days Sales Outstanding | Collection Dispute Letter | Accounts Receivable Days Formula | Credit Dispute Letter | Accounts Receivable Days Outstanding | Accounts Receivable Collections | Accounts Receivable Report | Accounts Receivable Aging Report | Accounts Receivable Process | Credit Scoring Model | Dispute Management | Debt Collection Call Script | Credit Risk Management Techniques | Accounts Receivable Department | 609 Credit Dispute Letter | Order to Cash Automation | Collections Performance Metrics | How to Determine Credit Worthiness | B2B Credit Application | Credit & Collection Technology

Ebooks, Templates, Whitepapers & Case Studies

Accounts Receivable Dashboard | Credit and Collection Goals | DSO Calculation Template | Accounts Receivable Aging Report Template | Business Credit Scoring Model | AR Aging Worklist Prioritization | Collection Email Templates | Strategies to Reduce DSO | Collection Maturity Model Template | Credit & Collection Email Templates | Credit Policy Sample | Credit Application Checklist Spreadsheet Template | Collection Email Automation with Excel