Atradius Declarations API

Automation, unlocked: enabling faster, more accurate declarations for Atradius.

By automating just one customer reporting function, GW reduced Atradius’ risk exposure by 50% – and accelerated global client growth in the process.  

Goal: Improved accuracy, reduced risk and enhanced customer trust  

Atradius’ manual turnover declaration process was slow and inconsistent. As a result, customers were under-reporting turnover, leading to hidden risk exposure and mispriced premiums. In short, Atradius was exposing the business to unnecessary risk and losing profit, due to friction in one simple customer reporting function.  

With competitors already gaining ground with digital solutions in this area, Atradius needed a way to automate this process and improve its accuracy quickly.  

Challenge: Difficult processes and poor-quality data failed to connect reporting with reality  

Inefficiency and friction in the declarations process were causing problems for both Atradius and its customers. Manual reporting was time consuming and difficult, resulting in a lack of structured, meaningful and up-to-date data that made it difficult for Atradius to make informed credit and risk decisions. Errors and underreporting often went unnoticed, meaning that risk analysis wasn’t lining up with real trading activity.   

GW’s expertise in this sector made them the ideal partner to modernise the turnover declarations process and deliver a fast, reliable automated solution. They needed to create a solution that could reduce manual workload, align risk with reality, secure better visibility of global exposure and increase the number of customers submitting structured data every month.  

Here’s how GW developed a solution that gave Atradius better insight into customer risks, enabling them to accurately price premiums, improve customer engagement, and keep up with the competition.  

Solution: A Declarations API that reduced risk exposure by 50%  

GW designed and delivered a Declarations API, supported by upgrades to their policy management platform and a new data quality framework.  

This secure, scalable API allowed clients to easily submit turnover data monthly. Features included authentication and audit logging, validation for risk-critical fields and support for integration with ERP and accounting systems. 

Improvements to Atrium, Atradius’ policy management platform, enabled it to ingest and reconcile turnover data, visualise risk profiles and alert Atradius to anomalies or missing declarations.  

The new data quality framework underpinned everything, with real-time validation, anomaly detection and intuitive dashboards providing continuous monitoring to support compliance and operations.  

As a result, Atradius was also able to segment risk by buyer, sector and country, to manage global exposure more effectively. 

Outcome: More accurate premiums, lower risk exposure, operational savings, and increased profitability for Atradius 

Clients quickly adopted the convenient automated process, increasing API-based client declarations by 30%. This rapidly improved data quality and timeliness, making premium accuracy up to 2.3 times higher and cutting unquantified credit exposure by 50%. 

Fewer manual interventions and disputes also reduced operational costs, enabling Atradius to improve profitability per claim while offering fair, risk-adjusted premiums. For one customer alone, accurate turnover declaration and data-backed underwriting eradicated £4 million in undeclared exposure, improving customer satisfaction and allowing for a more accurate premium to be charged. 

How we did it: Technical steps 

• Discovery and engagement: Workshops, a key part of every GW process, were conducted with key stakeholders in underwriting, operations, IT, and compliance, to identify inefficiencies and gaps in the process.  
• Value and impact modelling: A risk-value model demonstrated the impact of undeclared turnover and quantified potential gains from automation. 
• API design: Specifications and schema were defined to support declarations and ensure compatibility with Atrium and Atradius infrastructure.    
• Agile implementation: Solutions were delivered in sprints, with continuous testing, review and integration of feedback leading to iterative improvement. 
• Client adoption: Onboarding guides, technical support and API sandboxes eased adoption, while pilot programs with high-value clients supported rollout. 

The intelligence Blueprint in action  

By starting with a focused problem, Atradius was able to test a targeted solution through a modular API. This approach delivered measurable value quickly while laying the foundation for broader transformation. It shows how intelligence can be embedded step by step, aligning technology with business goals, and creating both immediate wins and a scalable model for future growth. 

Download our guide to see how you can apply the Intelligence Blueprint methodology in your business. 

The Intelligence Blueprint  

A practical guide to reimagining your business.