Risk Division Technology Integration & Automation
Rayterton helps risk divisions replace fragmented tools and manual data transfers with an integrated technology environment. The service focuses on risk data integration, automation of reporting and workflows, and modern interfaces that keep legacy systems in place while making them easier to use and govern.
Who usually engages Rayterton for technology integration and automation
The Risk Division Technology Integration and Automation service is aimed at organisations that need to integrate risk data from multiple systems, automate reporting, and give their risk leaders a single, reliable view of exposures and compliance status.
What the Risk Division Technology Integration and Automation program delivers
The program combines solution design, data and integration work, and workflow automation so that risk data flows reliably between systems and the division spends less time on manual compilation. The focus is on practical outcomes: better quality risk information, faster reporting cycles, and clearer ownership of data and interfaces.
Risk data integration and pipelines
Design and implementation of risk data integration pipelines that connect core banking, credit systems, operational loss systems, and external data sources to the risk platform.
- Integration of risk data pipelines using ETL or ELT patterns, depending on your technology stack.
- Data quality checks and standardisation of key risk fields so that reports are comparable across entities.
- Metadata and lineage documentation so that risk owners know where each critical field comes from.
Automation of risk reporting and filings
Automation of recurring risk reports and regulatory submissions so that teams spend less time on manual compilation and checking.
- Configuration of automated risk reporting packs for management, Board committees, and regulators.
- Scheduling and monitoring of report generation and data refresh, with exception alerts.
- Template management for recurring regulatory filings that reuse common data sets.
Robotic Process Automation for risk processes
Use of RPA for repetitive risk and compliance tasks where full system integration is not yet possible.
- Automation of manual extraction, formatting, and loading of data between older systems.
- Support for compliance routines, such as screening, reconciliations, and evidence collection.
- Controls around bots, including monitoring and audit trails that fit into risk governance.
API hub and integration blueprint
Design of an API hub and integration blueprint that allows model risk systems, analytics tools, and new applications to connect to risk data in a controlled way.
- API design for key risk data services, such as exposure views, limit utilisation, and incident information.
- Security, access control, and logging patterns for technical integration between risk and IT.
- Blueprint that shows how future tools and AI models will plug into the risk data environment.
How Rayterton typically runs a technology integration and automation program
The engagement model is structured to first understand the current risk technology landscape and data flows, then to configure a working integration layer and automation use cases that can grow into a broader platform. The program can be run for a single risk function or across the entire risk division.
Rayterton starts with working sessions that map current systems, interfaces, and manual processes across the risk division. This phase defines the integration priorities and the first set of automation use cases.
- 1 Assessment of current risk systems, manual data flows, and reporting obligations.
- 2 Definition of target integration architecture, including data pipelines, APIs, and RPA candidates.
- 3 Selection of initial scope for the first integration and automation wave that can show quick results.
A working integration layer and automation set is configured based on the agreed design. Selected reports and processes are migrated first, followed by broader rollout and connection to other Rayterton solutions if required.
- 4 Configuration of risk data pipelines, reporting automation, and RPA bots for the agreed processes.
- 5 Pilot deployment for selected business units or risk functions, including refinement based on user feedback.
- 6 Division wide rollout and optional integration with other Rayterton platforms, such as AI Governance or ERM Digitization.
What you get from Rayterton
The engagement model mirrors other Rayterton solutions. The goal is a working environment for your risk division that already reflects your data flows and reporting needs before you make any long term commitment.
Before go live
- ✓ Free customisation for key interfaces, workflows, and dashboards that your risk and technology teams need.
- ✓ Working trial environment that already uses real examples of your risk reports and system connections.
- ✓ Support to migrate agreed historical risk data feeds, reports, and scripts into the new integration layer.
After go live
- ✓ Annual maintenance that already includes change requests for integration mappings and automation rules without extra man day cost.
- ✓ Monitoring and performance tuning for interfaces and automation when required so that reports continue to run on time.
- ✓ Optional deeper integration with other Rayterton modules such as AI Governance, Digital Risk Management, or Data Governance platforms.
Modernise integration and automation for your risk division
Share a simple map of your current risk systems, key reports, and manual processes. The Rayterton team will prepare a technology integration and automation blueprint, together with a prototype view, that your risk leadership and IT teams can review and refine.