Taking advantage of automation and digitalisation

To keep up with rapid innovation and emerging disruption, customers and investors alike are now expecting digitalisation of all key aspects of business operations. With increasing demand for analytical and technical capabilities, credit teams need to embrace digital transformation of credit decisioning to remain competitive, save time and money and improve accuracy.

What is credit risk automation?

Automation is the application of technology to perform processes and achieve outcomes with minimal human input. It simplifies credit management practices by increasing productivity and profitability.

When it comes to managing credit risk, time and accuracy are key. The traditional manual processes of gathering and analysing information and credit process to process an application is time consuming and error prone.

Digitalisation and automation minimise manual data gathering, human error and judgement-related inconsistencies. Automated credit risk technology enables credit teams to generate deeper insights and financial information from advanced analytics, identify risks quickly and make better decisions, resulting in higher profitability. It also promotes transparency with end-to-end process visibility and real-time data processing, monitoring and reporting.

Benefits of automating your credit risk management practices include:

• Proactive instead of reactive approach
• Effective due diligence and credit risk mitigation
• Greater data quality and transparency
• Improved efficiency and decision-making
• Better customer experience
• Improved compliance and reporting
• System integration for smoother operations and optimisation

You can automate credit risk management practices such as: data processing; workflow processing; credit scoring; credit reports; credit risk assessment; risk analysis and decisioning; monitoring customers; early-warning systems; issue identification and action recommendation; credit applications and approvals; new client prospecting; underwriting processes; customer differentiation; compliance audit trails; report generation.

Automation speeds up transactions and increases productivity

By streamlining process automation to reduce the turnaround time, credit teams can cope with larger processing volumes while maintaining accuracy. Processes that used to take days can be cut down to minutes. Businesses are also able to meet customer demand for instant decisions and self-service credit applications.

Automated credit risk technology eliminates the need to hire and train additional personnel to perform mundane or repetitive tasks which can be replaced by machine-learning. Staff have more time to perform highly skilled activities that create genuine value and work on more nuanced issues. For instance, account managers can spend more time cultivating relationships instead of filling forms, thus improving customer experience.

Automation generates higher quality data and insights for the organisation

Digitalising your database enables data integration and consolidation from multiple sources including enterprise and third-party systems and websites. By conducting a CreditorWatch Portfolio Health Check, you can automatically enrich and validate data, removing incorrect information from your database.

Meanwhile, advanced analytics and machine learning algorithms enable intelligent insights to emerge from large and complex data sets, overcoming the limits of standardised statistical analysis. This information can be collated and shared among business units and other central functions, contributing to improved performance across the organisation.

Digital transformation also helps companies keep a detailed activity trail for regulatory and audit compliance. By automating reports that track ongoing compliance, companies enhance legal protection to better handle changing regulations.

 Automated credit risk technology enables a proactive approach and better decision-making

You will become more agile as you move from reactive to proactive credit risk management practices. With automation, credit teams can track new product cases and finalise, reject, edit and reassign applications in real-time. Businesses can make rapid fact-based decisions while adjusting to market developments. The risk management processes allow for a better performance of trend analysis and benchmarking as well as create improved customer segments for dynamic risk-adjusted product and pricing strategies.

Risk-reporting mechanisms can automatically implement early-warning detection techniques to identify potential losses and risk factors. Businesses will be able to stay ahead of bad debt by forecasting earnings, predicting payment behaviour and generating real-time alerts on technical defaults to accelerate debt collections.

Automation can be expanded beyond immediate gains

Digitalised credit risk management practices also enhance agility and scalability. Configurable tools not only support quick integration, but also enable companies to quickly create, test and deploy new rules or procedures. Furthermore, the scope for intelligent automation can expand beyond its initial application and create new business cases.

How CreditorWatch can help automate your credit risk management 

CreditorWatch was founded with innovation and automation in mind. We empower businesses and financial institutions to make faster decisions by automating their credit risk management practices with data and interactive tools.

Our best tips?

• Automate client onboarding with ApplyEasy, our digital credit application platform. View this case study on Eastern Plant Hire to learn more.
• Receive real-time alerts as soon as adverse information about your customers arise, for instance, if they are taken to court or stop paying other suppliers. Learn how Genii has benefitted in this  case study.
• Integrate our credit risk management tools with your own third-party system using API. Read how Banjo Loans uses our API.

To learn more, contact us  here for a free consultation today.