Automation is a buzzword in many industries—and for good reason. Its impact has been undeniable across various sectors, driving productivity and efficiency gains by minimising human intervention in tasks and processes.
Whether it’s robotic precision in healthcare, onsite and off-site design in construction, or warehousing pick, pack and delivery, automation streamlines operations for speed, accuracy, and consistency. Three out of four (74%) organisations have seen investments in automation meet or exceed expectations, with 63% planning to increase their efforts and further strengthen these capabilities by 2026.
The credit management industry is no exception. For businesses with trade accounts, automation offers a pathway to optimising strategic growth whilst reducing costs and allocating resources more effectively.
Automating accounts receivable (AR) goes beyond minimising manual effort—it empowers businesses to strengthen their customer relationships, boost team morale, connect their data and streamline processes for seamless collaboration.
What you need to know about automating accounts receivable processes.
What is accounts receivable automation?
Accounts receivable (AR) automation leverages technology to transform manual processes and business rules operating credit management tasks into standardised and streamlined workflows. Manual methods of receiving, storing, and processing data are replaced with digital data capture, housing information securely in the cloud. Credit management teams access real-time, centralised data for convenience, enabling faster, more precise, and data-driven decision-making.
Beyond simplifying daily operations, AR automation provides a comprehensive view of the customer lifecycle, enabling businesses to gain insights and identify trends and patterns to better forecast revenue, supply chain needs, and operational requirements, delivering greater overall efficiency.
By removing repetitive tasks, automation unlocks valuable time and team resources, which can be effectively redeployed toward areas of revenue generation and customer growth. When it comes to AR, the business case for automation is clear and compelling.
Areas of AR that can be automated
If a manual AR process involves human intervention, it is a strong candidate for automation. Here are some key AR functions that can be automated to elevate B2B credit management processes:
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Account application Traditional paper or PDF application forms can be digitised for a fast and easy customer experience. The captured data is instantly used to assess a customer’s creditworthiness. Data is securely and centrally stored in the cloud for real-time access to current and historical application information.
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Credit assessment Existing business rules can be transformed into automated workflows. Credit reports, identity verification, and fraud checks are handled seamlessly in the background. Data-driven decision-making allows for fast, efficient credit assessments—applications are instantly approved or flagged for review and approval.
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Invoicing Manual invoicing is often rigid and time-consuming. Automation enables businesses to generate and send invoices based on a preset schedule, ensuring timely and accurate billing. Gone are the days of end-of-month cycles.
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Task management Manual tasks like reviewing credit limits and blocking overdue accounts can be automated using pre-defined rules. This allows for fast, accurate responses and mitigates financial risk, particularly in instances where overdue accounts might otherwise go unnoticed.
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Payment reminders Proactive and consistent communications elevate the customer experience. Automated payment reminders can be sent on a set schedule using templated emails, providing visibility into the status of an account.
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Payment allocation Matching payments to invoices can be tedious and time-consuming. Automation simplifies this process with sophisticated data-matching methods, enabling fast and accurate reconciliation that positively impacts cashflow.
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Reporting Reports can be generated in real time with automation, eliminating delays caused by manual consolidation. Centralised data makes it easy to create timely reports for better decision-making and planning.
By shifting AR functions to a consolidated credit management solution, all processes can be streamlined into a single workflow. Integrating a CRM or an ERP takes this a step further, facilitating seamless data flow between systems, ensuring updates and changes are automatically reconciled. PwC describes this as the unified platform—a central nervous system for integrating initiatives that helps reduce costs, minimise technical debt and unlock opportunities for real-world business process transformation. It eliminates countless disconnected and isolated steps and processes.
What is the value of automation?
Automating credit management processes brings substantial value to organisations, delivering benefits across three key pillars:
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Process efficiencies - Eliminate manual tasks and processes
- Centralised, real-time data
- Standardised and consistent workflows
- Faster, more informed decision-making
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Cost savings - Redeploy resources to growth areas
- Reduce errors and rework
- Accelerate payment allocations
- Mitigate business risks
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Improved customer experience - Strengthen customer relationships
- Simplify customer onboarding
- Boost team morale
- Ensure faster response times
Who benefits from accounts receivable automation?
<u>Credit and finance teams</u>
Credit and finance teams are the primary beneficiaries of accounts receivable automation. By replacing manual tasks with automation, leading retailer Woolworths Group experienced a significant boost in team morale. Credit teams can strengthen financial controls, gain real-time data visibility for effective decision-making, and reduce risk through automated checks, verifications and ongoing account monitoring.
<u>Sales and customer service teams</u>
Sales and customer service teams experience significant advantages, including a controlled increase in credit limits for growth, a centralised view of trade account information, and account status visibility. Response times are improved with the right information always at hand.
The future of automation in credit management
Artificial Intelligence (AI) automation is advancing at an unprecedented pace. By leveraging machine learning and advanced algorithms, AI systems can analyse and learn from large volumes of data, identify patterns, match payments and optimise processes—without manual intervention. By continuously analysing and incorporating real-time data, AI enhances the accuracy of predictions. Cashflow forecasts can be updated regularly, providing early warnings for businesses to proactively adjust their strategies.
A practical application of AI is in fraud detection. AI can analyse transactions in real time, swiftly identifying anomalies to mitigate potential risks before they impact operations.
A study by McKinsey highlighted that AI use cases in credit risk are extensive, with potential applications spanning the entire credit life cycle, from client engagement to customer assistance processes.
Conclusion
Automation equips organisations with a powerful tool to optimise credit management processes, streamline operations, reduce costs and improve customer engagement.
As you explore optimisation opportunities within your organisation, consider how much time your accounts receivable team currently spends on manual tasks that could otherwise be automated. A cost-benefit analysis will likely uncover substantial potential for improvement. In today’s fast-paced business world, harnessing the power of automation enables your organisation to scale efficiently, meet increasing performance and productivity demands, and significantly reduce operating costs.
Author:
Michael Rosen is Head of Product at Opypro, a cloud-based credit management platform that simplifies and automates accounts receivable processes. With end-to-end automation, Opypro streamlines operations, reduces costs and drives growth.
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