Freehand Studio · AI Agent · Logistics AR

Collections Agent: Aging Invoices Prioritized by Risk, Sequenced, and Actioned Before Write-Off

Open AR prioritized by risk-weighted aging invoice age, customer payment history, dispute status, and value. Tiered outreach sequences run automatically. High-risk items escalated to collector review.

Shipper
3PL
LSP
Carrier
Service Provider
10-15 days
DSO reduction within two quarters from risk-weighted outreach sequencing
100%
Of open AR worked to consistent contact sequences no prioritization gaps
Zero
High-value at-risk invoices deprioritized in favor of lower-balance accounts
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Awards and Recognitions
The Problem

Collections Is Reactive. High-Value At-Risk Invoices Age While Teams Chase the Wrong Accounts.

AR teams work aging reports in order. High-value invoices age past terms while teams handle low-balance follow-ups. Contact sequences are inconsistent. Outreach cadence depends on team availability. DSO climbs.

Aging Reports Drive the Wrong Prioritization

Working an aging report in date or balance order means the most at-risk items are not necessarily actioned first. A high-value invoice from a customer with deteriorating payment history may sit below a lower-risk account.

Contact Sequences Inconsistent

Without a structured contact sequence, outreach cadence depends on individual collector behavior. Some invoices receive follow-up on day 5, others on day 20. Inconsistency creates gaps that allow invoices to age past recovery windows.

High-Value Items Deprioritized Inadvertently

When prioritization is manual, high-value invoices from accounts with complex dispute histories sometimes receive less attention than their risk warrants. The collector handling a dispute deprioritizes the straightforward follow-up a high-value aging account needs.

No Risk Signal in the Work Queue

Standard AR aging reports show invoice age and balance but not payment behavior history, credit risk, or dispute frequency the combination that predicts whether an invoice will become a write-off.

Credit Extension Decisions Made Without Behavioral Data

When a customer requests extended terms, the decision is made without a complete picture of payment history, dispute frequency, and recovery track record. Credit decisions that should be informed by behavioral data are made on relationship familiarity.

Write-Off Rate Climbs Without Visibility

When collections is reactive and unstructured, the write-off rate is a lagging indicator that appears in financial reporting long after the underlying behavior has accumulated. There is no early warning that a segment is at elevated risk.

What the Agent Does

Prioritize by Risk. Sequence Outreach. Escalate High-Risk. Log Everything.

Prioritizes open AR by risk-weighted aging invoice age, payment history, dispute status, and invoice value. Sequences tiered outreach automatically reminder, follow-up, escalation. Routes high-risk items to collector review. Logs all contact history.

Risk-Weighted AR Prioritization

Open AR scored and ranked by risk: invoice age combined with customer payment history, dispute frequency, credit risk signals, and invoice value. High-risk, high-value items surface at the top of the work queue regardless of aging report position.

Tiered Outreach Sequencing

Contact sequences run automatically reminder at due date, follow-up at configurable intervals, escalation to senior contact after defined thresholds. Sequences consistent across all accounts regardless of team availability or collector workload.

High-Risk Escalation to Collector Review

Accounts at elevated risk based on payment history deterioration, credit signals, or dispute patterns escalated to collector review queue with full context attached. Collectors receive the accounts that need human judgment.

Contact History Logging

All outreach contact email sent, response received, phone log, dispute status update logged automatically in the AR dashboard. Collector handoffs happen without context loss.

DSO and Aging Trend Tracking

DSO and aging distribution tracked continuously. Collections performance visible to AR and finance leadership in real time not reconstructed from ERP reports at period close.

Dispute Status Integration

Disputed invoices excluded from standard outreach sequences and routed to the Dispute Resolution Agent workflow. Collections and dispute resolution run as coordinated processes, not competing queues that generate duplicate customer contact.

Agent Handoffs

From Open AR Risk Signal to Systematic Outreach

Receives open AR status and deduction context from upstream agents. Routes resolved disputes to downstream agents. Sends risk alerts through the Alerting Agent.

Receives from

Short-Pay & Deduction Agent

  • Short-pay and deduction resolution status from the Short-Pay and Deduction Agent used to update open AR balances and ensure collections outreach reflects the correct outstanding amount after deduction classification.

Cash Application Agent

  • Cash application records from the Cash Application Agent used to keep open AR accurate.
  • Collections outreach does not fire on invoices with matched payments pending ERP posting.

AR Intelligence Agent

  • Customer payment behavior patterns and risk signals from the AR Intelligence Agent used to calibrate risk-weighted prioritization and outreach sequence timing.

This Agent

Collections Agent

  • Prioritizes open AR by risk-weighted aging, sequences tiered collection outreach automatically, escalates high-risk items to collector review, and logs all contact history.
  • DSO and aging trends tracked continuously.

Triggers

Dispute Resolution Agent

  • Invoices where customer dispute is the stated reason for non-payment routed to the Dispute Resolution Agent for evidence-backed resolution rather than continued collections outreach.

Alerting Agent

  • High-risk AR concentrations, accounts with rapidly deteriorating payment behavior, and DSO threshold breaches routed through the Alerting Agent to the relevant finance and collections leadership.
Before AI → After AI

What Changes When Collections Runs on the Agent

The AR portfolio does not change. The consistency, speed, and risk intelligence behind how it is worked does.

Before the Agent
With Collections Agent
Collections team works aging report in order. High-value at-risk items treated the same as low-balance accounts. Risk is invisible in the work queue.
Open AR prioritized by risk score. High-value at-risk items surface at the top of the work queue. Risk signal drives prioritization, not report order.
Contact sequences inconsistent. Outreach cadence depends on individual collector behavior and team availability. Gaps allow invoices to age past recovery windows.
Contact sequences consistent and logged across all accounts. Outreach runs on schedule regardless of team availability. No invoice ages past terms without a documented contact attempt.
When a collector is occupied with a dispute, the straightforward follow-up a high-value aging account needs gets deprioritized. High-value items fall through the cracks.
High-risk escalation routes items needing human judgment to the collector review queue with full context. Routine follow-up runs automatically. Collectors work the accounts that warrant their attention.
Write-off rate is a lagging indicator that appears in financial reporting long after the underlying behavior has accumulated. No early warning exists.
Risk concentrations visible in real time. Segments of the AR portfolio at elevated write-off risk surfaced to finance and collections leadership before the write-off cycle.
Credit extension and payment arrangement decisions made without behavioral data. Relationship familiarity substitutes for payment history in the decision.
Customer payment history, dispute frequency, and recovery track record visible before any credit or arrangement decision. Behavioral data informs the conversation.
Measured Outcomes

Results from Live Deployments

Outcomes measured from carrier, 3PL, and freight brokerage deployments across LTL, truckload, intermodal, and contract logistics categories.

10-15 days
DSO reduction within two quarters from risk-weighted outreach sequencing
100%
Of open AR worked to consistent contact sequences no prioritization gaps
Zero
High-value at-risk invoices deprioritized in favor of lower-balance accounts

Open AR prioritized by risk score. High-value at-risk items surface at the top of the work queue.

Tiered outreach sequences run consistently across all accounts regardless of team availability.

High-risk items escalated to collector review with full context. Routine follow-up automated.

All contact history logged automatically. Collector handoffs happen without context loss.

Connects to ERP AR, customer payment history, and dispute systems on day one. No campaign setup required.

Scales with AR portfolio size. No incremental collector headcount as customer count and invoice volume grow.

Integrations

Works Where Your AR and Customer Data Already Lives

Reads from ERP AR aging, customer payment history, and dispute status. Sends outreach via email and logs activity back to ERP and AR intelligence systems.

ERP AR

SAP FI/CO · Oracle Fusion · NetSuite · Dynamics 365

Open AR aging data read via BAPI and REST. Invoice age, balance, customer identity, and payment terms pulled for risk scoring and outreach sequencing.

Payment History

ERP / Freehand Customer Payment History

Customer payment history from ERP and Freehand used to build the behavioral component of the risk score for each open account.

Dispute Status

Freehand Dispute and Deduction Status

Active dispute and deduction status from Freehand used to suppress outreach on items pending resolution and route disputed invoices to the Dispute Resolution Agent.

Credit Risk

D&B · Internal Credit Master

External credit risk signals from D&B and internal credit master data from ERP used to enrich the risk scoring model for each customer account.

Middleware

MuleSoft · Dell Boomi

AR and customer data flowing through your integration layer accessed without collections pipeline disruption.

Short-Pay

Short-Pay & Deduction Agent

Deduction resolution status from the Short-Pay Agent used to keep open AR balances current for accurate outreach targeting.

Outreach

Email Microsoft 365 / Gmail

Collection outreach emails sent via O365 and Gmail using Graph API and SMTP. Tiered messages delivered on configured schedule for each account.

ERP Status

SAP FI · Oracle · Dynamics 365

AR status updates contact made, promise to pay, dispute routed written back to ERP AR records via BAPI and REST.

Review Queue

Collector Review Queue High-Risk Items

High-risk accounts escalated to the Freehand collector review queue with full payment history, dispute context, and outreach log attached.

Alerts

MS Teams / Slack / ServiceNow

DSO threshold breaches and high-risk AR concentration alerts delivered to collections and finance leadership via webhook and REST.

Data Lake

Snowflake / Databricks

Collections activity records, outreach logs, and DSO trend data written to your data lake for AR analytics and finance reporting.

Alerts

DSO and Aging Dashboard

DSO and aging distribution tracked continuously in Freehand and Snowflake dashboards for AR and finance leadership.

2,400
Active shipper customers managed in freight brokerage deployment DSO reduced from 47 to 34 days
10-15 days
DSO reduction within two quarters of deployment
100%
Of open AR worked to consistent contact sequences
Day 1
Connected to ERP AR aging, customer payment history, and outreach channels from go-live
Case Studies

$180M AR. 2,400 Customers. DSO from 47 to 34 Days.

Real outcomes from carriers, 3PLs, and freight brokerages running the Collections Agent in production.

Case Study 01

Freight Brokerage

Freight brokerage with $180M in annual receivables and reactive collections across 2,400 active shipper customers. DSO at 47 days and climbing due to inconsistent outreach sequences and no risk-based prioritization.

Freight Brokerage · $180M Annual Receivables · 2,400 Customers

47 → 34 days

DSO reduction within two quarters

2,400

Customers worked to consistent contact sequences

  • DSO reduced from 47 days to 34 days within two quarters from risk-weighted AR prioritization and automated tiered outreach
  • All 2,400 active shipper customers worked to consistent contact sequences collectors freed to focus on high-value dispute resolution rather than routine follow-up.
  • Risk-based prioritization surfaced the highest-value at-risk accounts to the collector review queue, preventing high-value write-offs that had been accumulating under the prior reactive process.
Case Study 02

National 3PL

National 3PL with rising write-off rates and no visibility into which customer segments were driving the increase. Collections team chasing accounts in aging order with no risk signal to guide prioritization.

National 3PL · Rising Write-Off Rate · Multi-Category

62%

Reduction in write-off rate from risk-based prioritization

Real-time

AR risk concentration visibility replacing lagging period-close reporting

  • Risk concentrations visible for the first time three customer segments accounting for 70% of write-off risk were identified and escalated before write-off cycles ran.
  • Write-off rate reduced by 62% within two quarters as high-risk accounts received structured outreach rather than aging-order follow-up.
  • Collections and finance leadership received real-time AR risk dashboards replacing the lagging period-close report that had been the only visibility into portfolio risk.
Technology

Powered by the Freehand Context Graph

Collections is only as effective as the risk signal behind every prioritization decision.

The Context Graph connects open AR aging, customer payment history, dispute and deduction records, and credit risk signals into the unified risk scoring context. Every prioritization decision draws from verified behavioral data across all available dimensions.

Built on the Freehand Logistics Language Model, trained on freight and logistics AR collections patterns, customer payment behavior models, DSO reduction methodologies, and risk-weighted prioritization frameworks. It understands what signals predict write-off risk in a logistics portfolio.

  • Every collections action is traceable. The risk score assigned, the outreach sent, the response received, and the escalation triggered are all logged at the moment they occur. Complete contact history available for collector handoffs and AR audit.
  • The Context Graph learns from collection outcomes. Customer risk profiles that consistently led to write-off or early payment update the scoring model. Collections sequence timing that produced faster payment is incorporated into future outreach configurations.
  • Collections intelligence flows into every agent that depends on AR accuracy. The Dispute Resolution Agent receives disputed items. The Alerting Agent receives risk threshold breaches. The AR Intelligence Agent receives collections outcomes for receivables analysis.
Architecture Overview
DATA LAYER AI TEAM Contracted Rates Carrier Invoices Shipment Events EDI Feeds ERP Exports Rate Cards CG Context Graph Freehand LLM Unified Semantic Layer Domain-Specific AI Self-Learning Model IA Invoice Audit Agent 100% invoice coverage GL GL Coding Agent GL posting & allocation AF Accrual & Forecast Agent Live spend accruals SI Spend Intelligence Agent Finance-grade data ERP OUTPUT SAP · Oracle Cloud · Oracle JDE · NetSuite · via API & EDI
FAQ

Collections: Questions AR and Finance Leaders Ask

Straight answers to what AR directors and CFOs ask before deploying the Collections Agent.

How does the agent prioritize open AR?
+

Invoice age combined with customer payment history, dispute frequency, credit risk signals from D&B and internal credit master, and invoice value. Each open item receives a risk score. Highest-risk, highest-value items surface first regardless of aging report order.

How are outreach sequences configured?
+

Reminder, follow-up, and escalation intervals are configured in Freehand Studio by AR leadership. Sequences can vary by customer segment, invoice value threshold, and payment history tier. The agent applies the correct sequence to each account automatically.

How does the agent handle disputed invoices?
+

Active disputes suppress collections outreach on the affected invoice and route the item to the Dispute Resolution Agent workflow. Collections and dispute resolution run as coordinated processes so customers do not receive duplicate contact on the same invoice.

What does the collector review queue contain?
+

Accounts escalated for elevated risk, including those with rapidly deteriorating payment behavior, large balances approaching recovery thresholds, and customers with active credit signals. Each escalated item arrives with full payment history, dispute context, and prior outreach log.

How does the Collections Agent fit into the Freehand pipeline?
+

Receives open AR status from the Short-Pay Agent, Cash Application Agent, and AR Intelligence Agent. Routes disputed items to the Dispute Resolution Agent. Sends risk threshold alerts through the Alerting Agent.

How quickly can the Collections Agent be deployed?
+

Deployable in days via pre-built connectors to ERP AR systems, customer payment history, and outreach channels. Most enterprises see measurable DSO improvement within the first 60 days of deployment.

Get Started

Deploy the Collections Agent Across Your AR Portfolio

Open AR prioritized by risk. Outreach sequences consistent. DSO reduction measurable within 60 days. Deployable in days.

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