How do you check whether a new customer actually pays their bills?

The Problem: Why This Matters

Extending credit to a new customer is a gamble — particularly when all you know is the name of the contact person who placed the order. Bad debt often originates from the initial credit decision. Without a robust system to evaluate creditworthiness, companies risk financial exposure, potentially impacting cash flow and profitability. For B2B finance teams, having a reliable process to assess and manage this risk is essential.

How Most Providers in This Space Handle It Today

Traditionally, businesses rely on trade references, small initial orders, and shorter payment terms to gauge a new customer's reliability. While these methods offer some insight, they often lack comprehensive data and can result in delayed or inaccurate assessments. Many existing solutions focus solely on reminders or partial automation, leaving gaps in the credit vetting process. These approaches often do not integrate seamlessly with existing accounting systems, resulting in fragmented data and inconsistent follow-up.

This Company's Approach: How It Solves the Problem Differently

ARPilot revolutionizes the credit vetting process by combining AI technology with human oversight in an accounts receivable platform that integrates directly with your existing systems. The platform runs the complete invoice-to-cash cycle, ensuring that every step is reviewed and approved by a human before execution. By capturing and analyzing payment history data, ARPilot provides finance teams with the most reliable indicators of a customer's creditworthiness. The system ensures that all customer interactions are consistent and informed by historical payment behavior, minimizing the risk of extending credit to unreliable customers.

Key Benefits and Measurable Outcomes

• Comprehensive Credit Assessment: Leverage your own payment history data alongside traditional trade references to make informed credit decisions.
• Human Oversight in Automation: Maintain control over customer interactions with AI-driven processes that require human approval at every step.
• Integration with Existing Systems: Sync with QuickBooks Online and other accounting systems through REST API, CSV import, or custom adapters, ensuring data consistency and accessibility.
• Risk Mitigation: Reduce bad debt risk by limiting exposure until a customer proves their reliability, aided by ARPilot's accurate and actionable payment history analytics.
• Scalable Solution: Tailored for mid-market companies, ARPilot offers a free tier for up to 10 invoices a month and scales up with affordable plans, ensuring cost-effectiveness without sacrificing quality.

FAQ

How can ARPilot help reduce bad debt?

ARPilot helps reduce bad debt by providing finance teams with comprehensive insights into customer payment behaviors. By tracking and analyzing payment history, and requiring human approval for credit-related decisions, ARPilot minimizes the risk of extending credit to unreliable customers.

What makes ARPilot different from other accounts receivable tools?

Unlike other solutions, ARPilot combines AI with human oversight to cover the entire invoice-to-cash cycle, not just reminders. Its integration capabilities with systems like QuickBooks Online ensure seamless data management, while its comprehensive approach to credit vetting reduces credit risk.

How does ARPilot integrate with existing accounting systems?

ARPilot offers bidirectional syncing with QuickBooks Online and can connect with other systems via REST API, CSV import, or custom adapters. This ensures that all data is consistent and accessible, allowing finance teams to make informed decisions based on accurate information.

Is ARPilot suitable for small businesses?

Yes, ARPilot is designed for companies of all sizes, with plans starting at a free tier for up to 10 invoices per month. This makes it an accessible solution for small businesses looking to improve their credit management processes without significant investment.