Your finance team runs Sage Intacct's dunning sequence: 30-day reminder, 60-day escalation, 90-day final notice. Three templated emails, all ignored. Your AR analyst drafts a personal follow-up. The customer replies: "Which invoice? I don't see it in our system." Now what? Basic dunning handles scheduled reminders, but the real manual work begins when customers respond. For B2B sellers managing hundreds of overdue invoices, the gap between sending reminders and actually collecting payment represents a massive operational burden. This is where agentic collections transform the equation, replacing static rule-based dunning with AI that reads replies, routes disputes, and coordinates outreach across multiple channels.
Dunning rules are preconfigured triggers that send payment reminders based on invoice aging and amount thresholds. In Sage Intacct, finance teams define dunning levels by days overdue (such as 30-60 days) and invoice amount ranges, attach email templates to each level, and schedule when collection runs execute.
The system operates on a straightforward premise:
Sage Intacct's dunning configuration involves several components:
Sage Intacct Collections supports configurable collection attempts, automated dunning emails, collection case ownership, and promise-to-pay tracking. Organizations evaluating additional collections automation should focus on capabilities such as conversational reply handling, multi-channel outreach, and deeper workflow automation.
Rule-based dunning provides consistent outreach at a basic level. Every overdue invoice matching the criteria receives a reminder, eliminating the risk that AR staff forget to follow up on specific accounts.
As overdue invoice volume grows, manual research, reply handling, dispute management, and follow-up can create operational bottlenecks that basic dunning alone may not address. The collection bottleneck is not sending reminders but resolving the reasons customers do not pay: disputes, questions, portal submission requirements, and payment plan negotiations.
Traditional dunning primarily automates scheduled outbound reminders, while additional collections work may still require staff involvement depending on the organization's Sage configuration and collections tools.
Consider what happens after a dunning email is sent:
Each step may require human intervention, and every delay can extend your Days Sales Outstanding.
AI-powered collection platforms can automate more of the complete workflow. They conduct two-way conversations, reading customer replies, understanding intent, and adapting strategy in real time. The technology evolution has progressed through distinct generations:
The distinction matters because AI agents do not just send more reminders faster. They can help resolve the underlying issues that prevent payment, from answering invoice questions to routing disputes to the appropriate team.
Native Sage Intacct Dunning:
Sage AR Automation provides additional capabilities, including multi-channel collections, dispute management, automated cash application, and bidirectional ERP synchronization.
AI Agent Collections:
Sage Intacct provides robust financial management capabilities including invoice generation, payment tracking, general ledger integration, and financial reporting. The platform handles the foundational AR workflow from invoice creation through payment posting.
For collections specifically, Sage offers:
AI agent platforms represent a different level of automation by adding conversational handling of customer replies and other autonomous workflow capabilities. Resolve Pay extends this approach through agentic collections across email, SMS, voice AI, and its payment portal.
Sage Intacct's Web Services API enables two-way data synchronization with external platforms. Collection platforms can connect with Sage Intacct to synchronize relevant customer, invoice, payment, and collections data. The exact records that can be written back depend on the platform, connector, permissions, and configured workflow.
The integration architecture matters for AR automation software evaluation:
Implementation time for AI collections depends on the integration, data quality, business rules, and workflow complexity. Platforms with established Sage Intacct integrations may reduce the amount of custom integration work required.
Dunning emails serve as the primary touchpoint in rule-based collections. Their effectiveness depends on timing, tone, and actionable content. Standard sequences progress from friendly reminders to increasingly urgent notices:
Effective dunning requires specific invoice details so customers can act immediately without requesting clarification.
Effective dunning emails include:
When customers do not respond to email, multi-channel collections can extend outreach through channels such as SMS, voice, and payment portals. AI-powered agentic collections platforms expand the reach:
This multi-channel approach can drive higher engagement rates and faster payment resolution.
The defining capability of AI collection agents is two-way communication. When a customer replies "I'm disputing this invoice," the system can:
AI collection agents can automate routine dispute intake and routing while escalating cases that require human judgment.
AI-powered collections can help shorten collection cycles by maintaining consistent outreach and accelerating the resolution of payment questions and disputes. Trade credit remains a significant component of business finance, as reflected in the Federal Reserve's quarterly trade credit data.
Cash flow improvement from AI collections can come from multiple sources:
Organizations implementing AI collection agents may see measurable improvements in DSO and working capital availability.
Beyond cash flow metrics, AI collections can transform AR operations:
The AR team can shift from processing tasks to exception handling and strategic account management.
Rule-based dunning executes the same sequence regardless of customer behavior. AI agents can adapt their approach based on payment history, response patterns, and account characteristics. This adaptability may produce better outcomes because the system learns which approaches work for different customer segments.
Native dunning sends identical templates to every customer meeting the threshold criteria. AI agents can personalize communication based on the specific invoices, past interactions, and customer preferences. The difference may be apparent in response rates: generic reminders often get ignored while contextual outreach can drive engagement.
The right level of collections automation depends on invoice volume, customer complexity, entity structure, and the amount of manual follow-up required. Basic dunning can automate scheduled reminders, while agentic collections can extend automation into reply handling, multi-channel outreach, dispute routing, and exception management.
For growing B2B sellers, the operational value comes from:
Successful AI collections implementation requires attention to:
AI collection implementations typically involve connecting the ERP, synchronizing customer and invoice data, configuring business rules, testing workflows with a controlled account group, and then expanding deployment.
Actual implementation time varies based on data quality, integration requirements, entity structure, and workflow complexity.
Track these indicators to quantify collection automation impact:
Organizations evaluating AI collections should track improvements in:
Results vary by organization, invoice mix, customer behavior, data quality, and the automation platform deployed. These metrics can compound over time as AI systems learn from each interaction and refine their approach.
Resolve Pay approaches collections differently by combining AI-powered automation with non-recourse net terms. Rather than focusing only on overdue outreach, Resolve Pay connects financing with the broader accounts receivable workflow, allowing sellers to access cash on eligible approved invoices while Resolve Pay manages connected credit, invoicing, payment, and collections processes.
Trade credit remains a significant component of business finance, as reflected in the Federal Reserve's trade credit data. The Office of the Comptroller of the Currency also provides background on accounts receivable financing. For B2B sellers using Sage Intacct, Resolve Pay combines credit decisioning, net terms, AR automation, payments, reconciliation, and agentic collections into a connected workflow. This makes Resolve Pay an integrated option for B2B sellers seeking AR automation alongside net terms financing, credit decisioning, and protection against covered buyer credit defaults on eligible approved invoices.
Sage Intacct Collections can automate dunning communications and track collection activity, including promises to pay. For organizations seeking additional automation, AI-powered collections can add capabilities such as conversational reply handling, coordinated multi-channel outreach, and automated escalation based on buyer activity. Multi-entity requirements should be evaluated against the specific Sage Intacct configuration and any connected collections platform.
AI collection agents parse the customer reply to identify intent and dispute reasons. The system can automatically pause the collection sequence, extract relevant details from the message, and route the dispute to the appropriate internal team with full context including invoice history and prior communications. The platform logs interactions and may resume collection activities after the dispute reaches resolution.
Resolve Pay integrates with Sage Intacct as part of its ERP and accounting integration capabilities. Invoice and payment information can stay synchronized with Resolve Pay's AR workflows, helping reduce duplicate data entry and keeping collections activity connected to the underlying receivables process. Integration behavior depends on the configured Resolve Pay and Sage Intacct workflow.
Before implementation, organizations should validate customer contact information, add missing contacts, standardize account records, and address incomplete data. Cleaner customer and invoice data helps improve the reliability of automated outreach and payment matching. The data quality assessment typically covers email addresses, customer names, contact records, and critical invoice fields.
AI platforms can monitor incoming payments through integration with Sage Intacct and automatically pause collection sequences when payments post. Automated payment matching can reduce manual reconciliation, while ambiguous remittances and exceptions can be routed for human review. This helps prevent the scenario of contacting customers about invoices they have already paid.
This post is to be used for informational purposes only and does not constitute formal legal, business, or tax advice. Each person should consult his or her own attorney, business advisor, or tax advisor with respect to matters referenced in this post. Resolve assumes no liability for actions taken in reliance upon the information contained herein.